Use of residual leaf area index and light interception as criteria for spring-grazing management of a ryegrass-dominant pasture
|
|
- Georgia King
- 6 years ago
- Views:
Transcription
1 New Zealand Journal of Agricultural Research ISSN: (Print) (Online) Journal homepage: Use of residual leaf area index and light interception as criteria for spring-grazing management of a ryegrass-dominant pasture C. J. Korte, B. R. Watkin & W. Harris To cite this article: C. J. Korte, B. R. Watkin & W. Harris (198) Use of residual leaf area index and light interception as criteria for spring-grazing management of a ryegrassdominant pasture, New Zealand Journal of Agricultural Research, 5:3, , DOI: / To link to this article: Published online: 1 Dec 011. Submit your article to this journal Article views: 71 View related articles Citing articles: 3 View citing articles Full Terms & Conditions of access and use can be found at
2 New Zealand Journal of Agricultural Research, 198, Vol. 5 : Use of residual leaf area index and light interception as criteria for spring-grazing management of a ryegrass-dominant pasture C. J. KORTE B. R. WATKIN Agronomy Department, Massey University Palmerston North, New Zealand W. HARRIS Grasslands Division, DSIR Private Bag, Palmerston North, New Zealand Abstract Detailed measurements of herbage accumulation were made on a 'Grasslands Nui' perennial ryegrass (Lotium perenne)-dominant, 'Grasslands Huia' white clover (Trifolium repens) pasture under late spring grazing intensities, based on residual leaf area index (LAI), and grazing frequencies based on light interception. Lax grazi~g during late spring (residual LAI ) resulted In rank stalky herbage, whereas hard grazing (residual LAI 0.1-D.9) resulted in more leafy herbage and higher ryegrass tiller density. For the 6 weeks of the experiment, 16.5 and 1.6 t DM/ha accumulated with hard and lax spring grazing respectively. During autumn, delaying grazing until weeks after 95% light interception markedly increased green herbage accumulation compared with grazing at 95% light interception, without significantly reducing ryegrass tiller density or white clover content. It is concluded that in spring, in contrast to other seasons, management of ryegrass-dominant pasture to control reproductive development is a considerably more important criterion than management to control leaf area and light interception. Control of reproductive development can be achieved by close grazing, topping, and closing paddocks for conservation, and will provide pasture which is leafy and digestible in summer. Keywords: Grazing management; leaf area index; light interception; Lolium perenne L.; 'Grasslands Nui' perennial ryegrass; reproductive development Received February 198; revision May 198 INTRODUCTION The wide adoption of year-round rotational grazing in New Zealand, particularly with dairy cattle and increasingly with sheep, makes it important to determine the optimum stage of regrowth to graze pasture and the optimum grazing intensity. Brown & Blaser (1968) concluded that although the relationship between leaf area index, light interception, and pasture growth had been oversimplified, this concept was useful for improving the understanding of pasture growth and for developing better management practices. The purpose of this study was to critically examine the use of light interception and leaf area index as criteria for grazing a ryegrass dominant pasture in spring. Previous grazing studies using these criteria have often avoided spring when reproductive development of grasses can greatly influence herbage production. Grazing management to regulate reproductive development, particularly to move leafy growth into late spring and summer, has been proposed by Saxby (198) and Hall (1973). Although several studies have used light interception to define defoliation interval, the optimum stage at which to defoliate pasture remains uncertain. Defoliation before 95% light interception reduces annual herbage production (Wilson & McGuire 1961; Sheard & Winch 1966) but delaying defoliation after 95% light interception has been reported to both increase (Mitamura 197; Terai 1977) and decrease (Tainton 197b) herbage production. Therefore the effect of delaying grazing beyond 95% light interception was investigated. As much of the herbage accumulating in the later stages ofregrowth is dead leaf (Hunt 1970; Tainton 197a), which is largely avoided by grazing animals (Arnold 196; Thomson 1977), production of live and dead herbage was measured. Residual pasture height (Brougham 1960) and residual herbage mass (Baars et al. 1981) have been used to define defoliation intensity in grazing studies, but pastures of similar height or mass can have different leaf areas depending on the ratio of live: dead herbage and the ratio of leaf: non-leaf. A high and low residual leaf area index (LAI) were compared, but, as it was anticipated that repeatedly leaving a high residual LAI would reduce stubble quality (Hunt & Brougham 1967; Jackson 197; Ollerenshaw & Hodgson 1977), treatments with
3 310 New Zealand Journal of Agricultural Research, 198, Vol. 5 Table 1 Defoliation regimes for experiment. Residual leaf area indices are shown in brackets. FHH FHL FLH FLL IHH IHL ILH ILL All plots hard-grazed 10-1 Sep 1975 (0.8) Intensity treatments (5 Oct-ll Jan) Hard (0.9) Hard (0.7) Lax (1.7) Lax (.7) Hard (0.) Hard (0.5) Lax (1.5) Lax (1.6) Hard (0.) Lax (.8) Hard (0.3) Lax (1.5) Hard (0.) Lax (1.9) Hard (0.) Lax (0.9) Hard (0.1) Hard (0.6) Lax (3.0) Lax (.0) Lax (1 January-31 March) Lax (.3) Lax (.5) Lax (1.9) Lax (.) Lax (.) Lax (1.0) Lax (1.8) Lax (1.9) Lax (0.9) Lax (.9) Lax (.) Lax (1.) Lax (0.7) Lax (0.8) Lax (1.0) Lax (1.5) Lax (1.3) Lax (0.9) Lax (1.) Hard (1 April-1 July) Hard (0.) Hard (0.3) Hard (0.3) Hard (0.3) Hard (0.3) Hard (0.) Hard (0.) Hard (0.) Hard (0.5) Hard (0.8) Hard (1.0) Hard (0.3) Hard (0.) Hard (0.5) Hard (0.5) Hard (0.5) Experiment ended 1 July 1976 alternating grazing intensities were included. These latter treatments were compared because the timing of close grazings was expected to interact with reproductive growth of ryegrass. Residual LAI treatments were only applied during late spring to early summer. Since the grazing practice in one season can affect herbage production in subsequent seasons (Brougham 1960), carry-over effects for all treatments were measured under the recommended managements (Brougham 1970) of lax grazing in summer and closer grazing in autumn. Because tiller density and botanical composition can influence pasture production, the effects of the grazing treatments on these sward characteristics were also measured. MATERIALS AND METHODS Site The experiment was conducted at 'Tuapaka' sheep farm, Massey University, 1 km east of Palmerston North. The soil is a Tokomaru silt loam (Cowie 1978), in its natural state of medium fertility and poorly drained because of the presence of a fragipan. The site was adequately drained by a subsurface drainage system. Soil moisture determinations for the top 15 em of soil were made regularly from within the trial area. Except for weeks in late February 1976, soil moisture did not drop below 0.0 of dry soil weight, the point at which pasture growth is restricted on this soil type (Scotter et al. 1979a, b). Climatic data indicated that the summer of was wetter and cooler than average. Soil moisture and climatic data are presented by Korte (1981). Pasture establishment After cultivation out of old pasture, the site was sown on 5 March 1975 with 16 kg/ha 'Grasslands Nui' perennial ryegrass (Lolium perenne L.) and 3 kg/ha 'Grasslands Huia' white clover (Trifolium repens L.). Potassic superphosphate (6% P, 1% K) at a rate of 380 kg/ha was broadcast following sowing and further applications of 5 kg/ha each were made in July 1975 and March Lime at 1300 kg/ha was broadcast over the site in April The pasture was grazed lightly in May, June, and August The experiment began on 1 September Treatments In August 1975 the site was subdivided into fenced paddocks, each 15 m x 16 m. Eight grazing treatments were compared, the combinations of grazing frequencies and grazing intensities, arranged at random within 3 block replicates. Grazing frequencies during the whole experiment were: Frequent (F), grazed when the pasture canopy intercepted 95% of the photosynthetically-active radiation at noon; Infrequent (I), grazed weeks after the pasture intercepted 95% of the photosynthetically-active radiation at noon. Light interception was measured with a 'LI-COR' light meter with a 'Quantum' sensor (Lambda Instrument Corp. Nebraska) placed above and at the base of the pasture at several locations within each paddock at solar noon. Spring/early summer grazing intensities were: repeatedly hard (HH); alternating hard and lax (HL); alternating lax and hard (LH); repeatedly lax (LL). Hard grazing (H) left a residual LAI between 0.1 and 0.9, whereas lax grazing (L) left a residual
4 Korte et al.-criteria for spring-grazing management 311 LAI between 0.9 and 3.0. These grazing intensity treatments were applied between 5 October and 11 January. In late summer (1 January to 31 March) all treatments were lax-grazed, residual LAI From 1 April until the end of the experiment, 1 July 1976, all treatments were hard-grazed, residual LAI Each grazing by Romney sheep lasted 3-5 days. Table 1 shows the actual grazing regime for each treatment. Measurements Immediately before and after grazing, and at approximately weekly intervals between grazings, herbage within at least 3 quadrats (each 0.3 m ) per paddock was cut to ground level. To reduce withinpaddock variation, quadrats were located within each paddock at positions which gave an average capacitance probe reading after taking 5 readings (Jones & Haydock 1970). After cutting, herbage was washed and weighed. A 0Q-6()0 g subsample was dried to measure dry matter (DM) percentage and a second subsample was sorted into grass, white clover, other species, and dead herbage. The area of emerged grass and white clover lamina was measured with an automatic electronic planimeter (Hayshi Denkoh Co. Ltd.). Herbage which was no longer green was classified as dead. Partly dead leaves were separated into greenand dead fractions. The herbage mass (Hodgson 1979) of each fraction, including lamina, and leaf area index were calculated after drying and weighing the components of the second subsample. Using the technique of Mitchell & Glenday (1958) the densities of ryegrass, Poa, and other grass tillers and white clover shoots were determined from 0 or 30 cores (0.3 ern") per paddock taken before each grazing and again 8 days after grazing was completed. Calculations and analysis Net herbage accumulation (Hodgson 1979) was calculated using the method of Campbell (1966). As rest periods for the various treatments did not coincide it was necessary to pool data for seasonal periods to carry out analysis of variance for herbage accumulation of the complete factorial layout. Data were grouped 'into seasonal periods, viz. spring/summer (1 September to 8 February) and autumn/winter (1 March to 8 July), and for the whole experiment (1 September.to 8 July). Where 8 February was part way through a rest period for a treatment, the sum of the seasonal periods does not always exactly equal that for the whole experiment. Analysis of variance was used to partition the effects of grazing frequency and intensity. Unless otherwise stated, the interaction between these factors was not significant at P<0.05, the significance level used throughout this report. RESULTS Herbage mass Fig. 1 provides a detailed description of herbage mass during the experiment. The histograms were obtained by connecting adjoining means in each rest period. Reproductive development of perennial ryegrass was markedly affected by grazing intensity, resulting in swards with different amounts of grass stubble and dead herbage in summer (Fig. 1). For example, on 17 January, LL had higher levels of stubble (1310 kg DM/ha) than the other 3 intensities (50 80 kg DMlha, LSD 5% 380). The stubble died subsequently, as can be seen for FLL in late January (Fig. 1), so that by February there was significantly more dead herbage in LL than the other intensities. In contrast to LL, swards in the other 3 intensity treatments were largely vegetative and leafy in January (Fig. 1). The effectiveness of hard grazing in changing swards from reproductive to vegetative growth depended on timing. The first hard grazing of FHH and FHL in October only removed a fraction of the reproductive meristems and reproductive growth continued until the next hard grazing in December for FHH and for FHL (Fig. 1). Relatively few reproductive tillers developed after these latter grazings. At the first hard grazing of FHL, IHH, IHL, and ILH, ryegrass seedheads were appearing and reproductive herbage was largely eaten so that subsequent growth was vegetative. During autumn, dead herbage disappeared from swards, often at a rate similar to the accumulation of green herbage (Fig. 1). For example, between 16 April and 9 May in FLL, green herbage, mainly leaf, accumulated at 35 kg DM/ha/day whereas dead herbage disappeared at 30 kg DMlhaiday. Herbage accumulation During spring/summer the frequency x intensity interaction was significant for total and green herbage accumulation (Table ). Where grazings were at 95% light interception (F), accumulation was greater in :fih than LL, with HL and LH intermediate. Fig. 1 shows that this difference between FHH and FLL was particularly large in January (9 and - kg green DM/ha/day respectively). By contrast, where grazings were weeks after 95% light interception (I), LL was either greater (total herbage accumulation) or not significantly different (green herbage accumulation) from HH during spring/summer (Table ). In both these comparisons ILH was less than IHH, and IHL
5 31 New Zealand Journal of Agricultural Research, 198, Vol ±7 5± 9±5 7±8-13±7 87±7 80±5-1± 9± ±5 6± 18±3 6±7 3±9 3±8 6±5 TOTAL -15±5 DEAD ± GREEN Accumulation rates o Dead [] Other species 00 Grass lamina o ill] Grass stubble 6 90±1O 10±1 76±3 71±16 9±3 17± 5 l±8 19±11-1 ±16 16±13 90± 89±957±1 7±1 78±11 7±3 7± 0±5-10± -31±3 1± TOTAL DEAD GREEN FHL '" '"E Ql C) '" 0.D Q; 97±5 86± 69±6 7±16 3±9 5±1-3±7 TOTAL I 3±6 -±7 31±11 6±7 37±9 ±3-3±7 DEAD 6 63±8 90±6 38±6 66±3-3± 1±19 9± GREEN FLH 0 ± TOTAL -lo±3 DEAD 6 1±1 GREEN FLL 0 N D Fig. 1 Herbage mass (t DMfha) and average accumulation rates (kg DMlhaiday) during rest periods for each treatment. Green herbage includes grass stubble, grass lamina, and other species (predominantly white clover). Total includes green and dead herbage.
6 Korte et al.-criteria for spring-grazing management ±8 6± 86± 63±6-10±3 73± 81±1 13± 68±11 3± -9±3 1±3 6±6-0± 6±3 TOTAL DEAD GREEN ±7 19±8-1± TOTAL 10±3-0±5-0±3 DEAD 76±11 39±6 19±3 GREEN IHL '" Ol E Ql 0 Cl Ol -e 56±10 ±6 5±1 TOTAL Ql 6± -17±6-17± DEAD I 6 30±8 1±6 ±1 GREEN ILH 0 6 ILL o Fig. 1 Continued
7 31 New Zealand Journal of Agricultural Research, 198, Vol. 5 Table Effect of grazing frequency and grazing intensity treatments on herbage accumulation (t DMlha). Green herbage Dead herbage Total F I F I F Spring/summer HH HL LH LL LSD (P <0.05) Frequency Intensity Interaction Autumn/winter HH HL LH LL LSD (P <0.05) Frequency Intensity Interaction Whole experiment HH HL LH LL LSD (P< 0.05) Frequency Intensity Interaction NS NS NS NS NS NS 1. NS D NS 0.97 NS NS NS NS, non significant intermediate. Grazing frequency only had a significant effect on green and total herbage accumulation in LL, ILL being greater than FLL. Green herbage that accumulated in spring/summer consisted of 83% grass, 15% white clover, and % other species. The interaction described above for green herbage was also significant for grass accumulation in spring/summer. Accumulation of the 'other species' component during spring/summer was greater in HH than LL, with HL and LH intermediate (0, 90, 350, and 10 kg DMlha respectively, LSD 5%, 30). Dead herbage accumulation was greater in LL than HH in spring/ summer (Table ). During autumn/winter, significant frequency x intensity interactions were detected for green and total herbage accumulation (Table ). Accumulation of green herbage was on average 89% greater in I than F for HH, HL, and LH whereas ILL and FLL were not different: However, since considerably more dead herbage (158%) disappeared from swards in I than F, total herbage accumulation was similar in I and F for HH, HL, and LH but greater in FLL than ILL. In F, green herbage accumulation was 1.6 t DMiha greater in LL than LH, with HH and HL intermediate. Grass and white clover accumulation were greater in I than F during autumn/winter (3360 and 570 kg grass DM/ha and 780 and 90 kg clover DM/ha respectively). Since more herbage accumulated in spring/summer than in autumn/winter (13.0 t DMiha in weeks and 1.9 t DM/ha in weeks respectively), the green herbage accumulation interaction described for spring/summer was also evident for green herbage accumulation over the whole experiment (Table ). The greater dead herbage accumulation in F than lover the whole experiment (670 and -580 kg DMiha respectively) reflected the greater disappearance of dead herbage in I than F during autumn/winter. For the whole experiment total herbage accumulation was 1.96 t DMlha or 13% greater in HH than LL, with HL and LH intermediate. Leaf area index The LAI measured at 95% light interception was not significantly affected by grazing frequently in summer, autumn, or winter (Table 3). However, in summer, a higher LAI was measured at 95% light interception where the previous grazing had been hard compared with lax. LAI at 95% light
8 Korte et al.-criteria for spring-grazing management 315 Table 3 LAI at 95% light interception (pooled for all treatments). LSD F (P<0.05) Mean Summer (Dec-Jan): Previous grazing hard NS 6.0 Previous grazing lax NS.8 LSD (P <0.05) 1.0 NS 0.8 Mean NS 5.3 Autumn (Feb-Mar) NS 3. Winter (Jun) NS.9 NS, non-significant Table Correlation coefficients between residual LAI and accumulation rate (kg DMihaiday) for different herbage components measured over the first weeks regrowth in Octover (Frequent) or November (Infrequent). Lamina Stubble Green herbage Dead herbage Total herbage Frequent >.6* 0.711** 0.67 NS NS 0.59 NS Infrequent >.87 NS >.017 NS >.150 NS 0.15 NS NS Correlation coefficient significantly different form 0 at P< 0.01 (**), P< 0.05 (*), or non-significant (NS) Table 5 Effect of grazin treatments on ryegrass tiller density (thousand tillers/m s). 19 Sep 1 Jan 1 Aug Intensity HH HL LH LL LSD (P< 0.05) NS 1.5 NS Frequency F I LSD (P <0.05) NS NS NS interception was lower in autumn and winter than in summer. LA! measured at weekly intervals during rest periods were used to calculate the average LAI in each treatment during November-February. The average LA! was 11% greater in I than F, being 3.7 and 3.3 respectively (LSD 5% 0.3). Average LAI was' not significantly different for HH, HL, LH, and LL. Similar calculations during autumn/winter showed that the average LAI was greater in I than F. For example, the values for FHH and IHH were 1.9 and. respectively during March-May. After the first grazing of the experiment, all plots had received similar pre-treatments so the effects of residual LAI on regrowth could be investigated. Correlation coefficients (Table ) were calculated for net accumulation rate of herbage components and residual LA!. The latter ranged from 0.6 to. in F and from 0.3 to.0 in I. In the weeks following grazing (0 October-3 November in F or 10- November in I) there was no significant correlation between residual LAI and accumulation of green, dead, or total herbage. Following the October grazing of F paddocks, the accumulation rates of the components of green herbage, lamina, and stubble, were significantly correlated with residual LAI. A unit increase in residual LAI was associated with a decreased lamina accumulation rate of 15 kg DMlha/day and an increased stubble accumulation rate of 9 kg DMlha/day. The stubble was mainly ryegrass culm. Although significant, these regressions only accounted for 0-50% of the variation in accumulation rates. Lamina and stubble accumulation were not significantly correlated with residual LAI after the November grazing of I paddocks. Tiller cores Perennial ryegrass, Poa (P. annua L. and P. trivialis L.) and white clover were the main species in tiller cores, occurring in 98%, 69%, and 65% of cores respectively at the end of the experiment (1 August 1976). At the same sampling, other grasses (Bromus mol/is L., Glyceria fluitans (L.) R.Br., Agrostis tenuis Sibth., Cynosurus cristatus L., Holcus lanatus L.) occurred in % of cores and Taraxacum officinale Weber ex Wiggers, the main dicotyledonous weed, occurred in % of cores. Treatment effects on tiller and shoot densities were compared on 3 occasions when all paddocks were sampled within a few days (Table 5). Eight days after the start of the experiment no significant differences were detected in ryegrass tiller density. In January, after the intensity treatments were completed, ryegrass tiller density was lowest in LL and higher in the other 3 intensities. At the end of the experiment, 1 August, differences in ryegrass tiller density was no longer significant. The only other significant effect of treatments on tiller and shoot densities detected was for Poa on 1 August when ILL had twice as many Poa tillers (5700/m ) as other treatments ( /m, LSD 5% 000). DISCUSSION AND CONCLUSIONS Reproductive growth During late spring, reproductive growth by perennial ryegrasses greatly influenced the pattern of herbage accumulation, largely negating the use of light interception as a criterion for grazing, a finding
9 316 New Zealand Journal of Agricultural Research, 198, Vol. 5 similar to that of Sheard & Winch (1966). The most obvious effect of reproductive growth was on accumulation of ryegrass stem and dead herbage. The higher levels of grass stubble and dead herbage in LL than in the other 3 intensity treatments (Fig. 1), was a result of sheep avoiding consumption of grass stems with lax grazing but being forced to eat stems with hard grazing. In LL sheep removed leaf and some seedhead during grazing, and the stem of reproductive tillers accumulated in the sward, then subsequently died. By contrast, leafy vegetative growth was encouraged in HH, HL, and LH where hard grazing restricted growth of reproductive tillers. Using dairy cows, Holmes & McClenaghan (1979) also obtained leafy and rank pastures by hard and lax spring grazings respectively. The higher LAI measured at 95% light interception where the previous grazing had been hard compared with lax (Table 3), reflected different amounts of reproductive growth. For example, a LAI of 8.0 was measured at 95% light interception in FHH on 6 January compared with.7 in FLL on 8 December. Swards in FHH were vegetative with little dead herbage (560 kg DMlha) whereas swards in FLL contained more dead herbage (1780 kg DMlha) and considerable amounts of stubble (330 kg DMlha). Much of the stubble and dead herbage was ryegrass culm and this intercepted light to little photosynthetic effect. When the effect of residual LAI on herbage accumulation was investigated in October and November (Table ) the responses reflected different stages of reproductive development, not differential patterns of light interception. In October, stem elongation had just started in ryegrass, and hard grazing removed some apical meristems whereas few were removed with lax grazing. The positive correlation between stubble accumulation and residual LAI reflected different amounts of stem growth. In November, many seedheads had emerged and little further stem growth could be expected, explaining the lack of correlation between residual LAI and stubble accumulation at this time. Grazing frequency The grazing frequency treatments were designed to result in different levels of light interception and pasture production. As expected, the average LAI, and presumably light interception, was greater in I than F. This was because lamina continued to accumulate after 95% light interception in I whereas the LAI was reduced by grazing in F. However any advantage from delaying grazing after 95% light interception was dependent on whether the sward was vegetative or reproductive. During the reproductive period, despite 11% greater average LAI in I than F, herbage accumulation was only increased by delaying grazing after 95% light interception in LL. The difference between ILL and FLL appeared to be the result of greater secondary reproductive tiller growth in ILL, but this hypothesis could not be confirmed because reproductive tillers were not separated from vegetative tillers. In HH, HL, and LH, where secondary reproductive tiller growth was restricted by hard grazing, no advantage from delaying grazing after 95% light interception was observed during spring/summer. During autumn/winter when swards were vegetative, considerably greater green herbage accumulation was obtained by delaying grazing until weeks after 95% light interception (Table ). This difference could have been caused by either a difference in herbage growth or a difference in herbage losses through death and decay (Morris 1970). Average LAI calculations in autumn/winter indicated that more light was intercepted in I than F, so greater growth in I undoubtedly contributed to the difference in herbage accumulation. As the amount of green herbage after grazing (Fig. 1) and residual LAI (Table 1) was slightly less in F than I during autumn/winter, slightly less herbage death could be expected in I than F (Hodgson et a ). However, the lower dead herbage accumulation in I than F during autumn! winter (-190 and -850 kg DM/ha respectively) was probably influenced more by the amount of herbage available for decay than by death of green herbage. A greater amount of dead herbage was available for decay in I than F, a result of more dead herbage having accumulated during grazing in I than F. During the autumn periods, 30 kg DM/ha of dead herbage accumulated in I, whereas 70 kg DMiha of dead herbage disappeared from F, presumably caused by eating and perhaps greater trampling into the soil. Despite the possible confounding effect of senescence, the difference in green herbage accumulation between F and I in autumn and the results from other experiments support the hypothesis that light interception is a useful criterion for grazing of vegetative swards. Mitamura (197) and Terai (1977) also obtained increased herbage production by delaying defoliation after 95% light interception in vegetative swards. Tainton (197a) and Baars et a1. (1981) showed that laxer grazing of dense vegetative swards during autumn increased herbage production, presumably also because of increased light interception and growth. It is concluded that in autumn and winter, considerably more herbage can be accumulated by increasing light interception, either by laxer grazing or by delaying grazing until weeks after 95% light interception. Although delaying grazing until weeks after 95% light interception did not
10 Korte et al.-criteria for spring-grazing management 317 significantly reduce the tiller density or clover content of the pasture compared with grazing at 95% light interception, even longer regrowths in autumn and winter would reduce both herbage production and the clover content of the sward (Brougham 1970; Baars et al. 1981). Grazing intensity Despite considerable variation in residual leaf area index (LAI) following either hard or lax grazing in late spring, a contrast was maintained between treatments (Table 1). With lax grazing greater variation in residual LAI occurred because this permitted sheep greater opportunity for patch grazing. Intensity treatments were based on residual LAI in an attempt to obtain different levels of light interception. Although differences in residual LAI were achieved, differences in average LAI, and presumably light interception by leaves, were nonsignificant for intensity treatments. This was because lax grazing, although increasing the residual LAI, reduced the LAI at 95% light interception. During spring/summer, 9% more herbage accumulated in FHH than FLL, although both treatments had similar average LAI, and presumably light interception by leaves. Herbage accumulation could have been increased in FHH relative to FLL either because of increased herbage growth or because of reduced herbage losses through death' and decay (Morris 1970). Hodgson et al. (1981) reported greater growth at the same LAI from swards defoliated more closely, perhaps because of increased proportion of young leaves which are photosynthetically more efficient than older leaves (Woledge 1977). Also since FHH had a lower herbage mass than FLL (Fig. 1), less herbage death would be expected in FHH (Hodgson et ai. 1981). The negative correlation between lamina accumulation and residual LAI (Table ) indicates that more of the leaf left after lax grazing died and decayed. Presumably FHL and FLH were intermediate between FHH and FLL because they had an intermediate level of growth and losses. Herbage accumulation during spring/summer was greater in IHH than ILH, a pattern similar to that in F. ILL did not follow this pattern however, accumulating a similar amount to IHH, perhaps, as already mentioned, because the very lax infrequent grazing of ILL encouraged a greater amount of secondary reproductive tiller growth. "The sampling of tiller populations in January was carried out after most reproductive tillers had died so it largely recorded vegetative tillers. Despite the sward being relatively open in early spring, continued lax grazing reduced ryegrass tiller density almost 30% compared with hard grazing. These results are similar to those from other grazing experiments (Tainton 197a; Boswell & Crawford 1978; Baars et al. 1981) and agree with the conclusion of Langer (1963) that close, but not too severe grazing, favoured tiller numbers. Alternating grazing intensities prevented the decline in tiller population; a similar result to that of Ollerenshaw & Hodgson (1977) with mown swards. With grazing intensities similar between January and July, and wet autumn conditions, differences between intensity treatments disappeared. Cores taken before and after each grazing showed that the difference between LL and HH disappeared during autumn (Korte 1981). Except for greater invasion by Poa in ILL between January and August there was no effect of grazing intensities on botanical composition. The reason for the greater ingress of Poa was perhaps a combination of greater seeding by Poa and lack of competition from ryegrass in ILL (Thompson & Grime 1979). Despite a third of tillers being Poa, they contributed relatively little to herbage production since ryegrass tillers were considerably larger. The grazing treatments had no apparent effect on the density or occurrence of white clover, as reported in other studies (Brougham 1960), because of the initially low white clover content of the ryegrass-dominant pastures used in this experiment (only 0% of tiller cores contained white clover at the beginning of the experiment) and because 'Grasslands Nui' is more aggressive than other 'Grasslands' ryegrass cultivars towards white clover (Harris 1977). Practical implications The rate of green herbage accumulation declined with successive lax grazing during early summer, whereas it remained considerably higher and relatively constant in HH (Fig. 1). This confirms the observations of Saxby (198) and Hall (1973) that close grazing in spring will promote vigorous leafy growth compared to pasture that has become rank and stalky. Baars et al. (1981) also obtained considerably greater green herbage production (5%) from ryegrass-dominant pasture by grazing to leave a lower residual herbage mass (750 compared with 1700 kg DM/ha) in spring/summer. It is concluded that in late spring--early summer, green herbage production from ryegrass-dominant pasture will be increased by grazing to leave a low residual herbage mass and to prevent rank growth. A further advantage of preventing rank spring growth is that it results in pastures of higher nutritive value. For example, herbage samples collected on February from FHH and ILL had in vitro organic matter digestibilities of 77% and 53% respectively. Rattray (1978) also showed that an increased proportion of dead herbage in swards was associated with a large reduction in digestibility. The
11 318 New Zealand Journal of Agricultural Research, 198, Vol. 5 nutritive value of herbage may be reduced to such an extent by the presence of dead herbage that animal production is reduced, even with generous herbage allowances which allow scope for selection of high quality herbage (Arnold 196). For example, Lewis & Cullen (1973) and Scales et al. (1981) reported that lamb growth rates were considerably higher on pasture containing a lower proportion of dead material. The hard grazings in late spring that largely prevented ryegrass flowering and rank growth were not particularly severe. Hard grazings seldom removed more than 50% of the herbage and the residual herbage mass was at least 1.5 t DMiha (Fig. 1). In comparison, Jagusch et a1. (1978) reported that during spring in a farmlet experiment at Ruakura, sheep (1 eweslha) removed 5% of herbage offered and the residual herbage mass was 1.6 t DMiha. Such close grazing can undoubtedly reduce dairy cattle performance (Bryant 1980), but this must be balanced against the subsequent improvement in performance resulting from increased pasture quality and production. It is concluded that to obtain optimum herbage production and herbage quality, rotationally grazed ryegrass-dominant pasture should not be too laxly grazed in late spring. Open rank pasture should be avoided and an attempt made to obtain dense leafy pasture by hard grazing. The main effect of hard grazing was to reduce ryegrass flowering and stem growth. The most practical method of forcing livestock to graze pasture more closely during late spring is by closing paddocks for conservation as pasture growth exceeds animal requirements. Mechanical topping can also be used to help prevent accumulation of rank herbage. ACKNOWLEDGMENTS We thank the staff of Grasslands Division Herbage Dissection Laboratory. especially Y. S. Gray, for assistance with herbage dissections and tiller counts; R. N. Barkwith and R. F. Battersby, Agronomy Department for technical assistance; J. A. Raven, Dairy Husbandry Department, for measuring herbage digestibility; and I.B.M. (N.Z.) for financial assistance with computing. REFERENCES Arnold, G. W. 196: Factors within plant association affecting the performance and grazing animals. In: Crisp, D. J. ed. Grazing in terrestrial and marine environments. British Ecological Society symposium No. Baars, J. A.; Jagusch, K. T.; Dyson, C. B.; Farquhar, P. A. 1981: Pasture production sward dynamics under sheep grazing. Proceedings of the New Zealand Society of Animal Production 1: Boswell, C. C.'; Crawford, A. J. M., 1978: Changes in the perennial rye rass component of grazed pastures. Proceedings Of the New Zealand Grassland Association 0: Brougham, R. W. 1960: The effects of frequent hard grazing at different times of the year on the productivity and species yields of a grass-clover pasture. New Zealand journal of agricultural research 3: : Frequency and intensity of grazing and their effects on pasture production. Proceedings of the New Zealand Grassland Association 3: Brown, R. H.; Blaser, R. E. 1968: Leaf area index and pasture growth. Herbage abstracts 38: 1-9. Campbell, A. G. 1966: Grazed pasture parameters. 1. Pasture dry-matter production and availability in a stocking rate and grazing management experiment with dairy cows. Journal of agricultural science Cambridge 67: Cowie, J. D. 1978: Soils and agriculture of Kairanga County, North Island, New Zealand. New Zealand Soil Bureau bulletin 33. Hall, A. M. 1973: The principles of pasture growth. Dairyfarming annual 5: Harris, W. 1980: An approach to evaluate a large number of mixtures under grazing. Proceedings of the XIII International Grassland Congress, Leipzig, Akadamie-Verlag, Berlin. p Hodgson, J. 1979: Nomenclature and definitions in grazing studies. Grass and forage science 3: Hodgson, J.; Bircham, J. S.; Grant, S. A.; King, J. 1981: The influence of cutting and grazing management on herbage growth and utilisation. Proceedings of the British Grassland Society occassional symposium, Nottingham. p. 51~. Holmes, C. W.; McClenaghan, R. J. 1979: Grazing management and growth of pasture. Dairyfarming annual 31: Hunt, L. A.; Brougham, R. W. 1967: Some changes in the structure of a perennial ryegrass sward frequently but leniently defoliated during summer. New Zealand journal of agricultural research 10: Hunt, W. F. 1970: The influence of leaf death on the rate of accumulation of green herbage during pasture regrowth. Journal of applied ecology' 7: Jackson, D. K. 1976: Some aspects of production and persistency in relation to height of defoliation of Lolium perenne (Var. S3). Proceedings of the XII International Grassland Congress, Moscow I: 7 8. Jagush, K. T.; Rattray, P. V.; MacLean, K. S.; Joyce. J. P. 1978: The dynamics of pasture production under sheep. Proceedings of the New Zealand Society of Animal Production 38: Jones, G. G.; Haydock, K. P. 1970: Yield estimation of tropical and temperate pasture species using an electronic capacitance meter. Journal ofagricultural science, Cambridge 75: Korte, C. J. 1981: Studies of late spring grazing management in perennial ryegrass dominant pasture. Unpublished PhD thesis, Massey University Library. Langer, R. H. M. 1963: Tillering in herbage grasses. Herbage abstracts 33: Lewis, K. H. C.', Cullen, N. A. 1973: Lamb growth on "long" and "short" grazed pastures of ryegrass or timothy/cocksfoot. Proceedings of the New Zealand Grassland Association 3:
12 Korte et ai.-criteria for spring-grazing management 319 Mitamura, T. 197: The effect of cutting on the dry matter production of orchardgrass sward (Dactylis glomerata L.) Bulletin of Institute for Agricultural Research, Tohoku University : Mitchell, K. J.; Glenday, A. C. 1958: The tiller population of pastures. New Zealand journal of agricultural research 1: Morris, R. M. 1970: The use of cutting treatments designed to simulate defoliation by sheep. Journal of the British Grassland Society 5: Ollerenshaw, J. H.; Hodgson, D. R. 1977: The effects of constant and varying heights of cut on the yield of Italian ryegrass (Lolium multiflorum Lam.) and perennial ryegrass (Lolium perenne L.). Journal of agricultural science, Cambridge 89: Rattray, P. V. 1978: Pasture constraints to sheep production. Proceedings Agronomy Society of New Zealand 8: Saxby, S. H. 198: Pasture Production in N.Z. New Zealand Department of Agriculture bulletin no. 50. Scales, G. H.; Moss, R. A.; Burton, R. N. 1981: Summer iii-thirft in lambs. Proceedings of the New Zealand Society of Animal Production 1: Scotter, D. R.; Clothier, B. E.; Corker, P. B. 1979a: Soil water in a Fragiaqualf. Australian journal of soil research 17: Scotter, D. R.; Clothier, B. E.; Turner, M. A. 1979b: The soil water balance in a Fragiaqualf and its effect on pasture growth in Central New Zealand. Australian journal of soil research 17: Sheard, R. W.; Winch, J. E. 1966: The use of light interception, grass morphology and time as criteria for the harvesting of timothy, smooth brome and cocksfoot. Journal of the British Grassland Society 1: Tainton, N. M. 197a: A comparison of different pasture rotations. Proceedings of the New Zealand Grassland Association 35: b: Effects of different grazing rotations on pasture production. Journal of the British Grassland Society 9: Terai, K. 1977: Judgement of artificial grassland productiveness (). Influence of plant density and cutting time on dry matter production of orchardgrass sward (Dactylis glomerata L.). Reports of the Institute for Agricultural Research, Tohoku University 8: 9-7. Thompson, K.; Grime, J. P. 1979: Seasonal variation in the seed banks of herbaceous species in ten contrasting habitats. Journal ofecology 67: Thomson, N. A. 1977: Factors affecting animal production, intake and utilisation by ewes grazing grass/clover and lucerne pastures. Proceedings of the New Zealand Grasslands Association 39: Wilson, D. B.; McGuire, W. S. 1961: Effects of clipping and nitrogen on competition between three pasture species. Canadian journal of plant science 1: Woledge, J. 1977: The effects of shading and cutting treatments on the photosynthetic rate of ryegrass leaves. Annals of botany 1: Sig.3
EFFECT OF CUTTING HEIGHT ON TILLER POPULATION DENSITY AND HERBAGE BIOMASS OF BUFFEL GRASS
EFFECT OF CUTTING HEIGHT ON TILLER POPULATION DENSITY AND HERBAGE BIOMASS OF BUFFEL GRASS ID # 01-32 L.S. Beltrán, P.J. Pérez, G.A. Hernández, M.E. García, S.J. Kohashi and H.J.G. Herrera Instituto de
More informationDynamics in tiller weight and its association with herbage mass and tiller density in a bahia grass (Paspalum notatum) pasture under cattle grazing
Tropical Grasslands (22) Volume 36, 24 32 24 Dynamics in tiller weight and its association with herbage mass and tiller density in a bahia grass (Paspalum notatum) pasture under cattle grazing M. HIRATA
More informationForage Growth and Its Relationship. to Grazing Management
1 of 5 4/9/2007 8:31 AM Forage Growth and Its Relationship to Grazing Management H. Alan DeRamus Department of Renewable Resources University of Southwestern Louisiana, Lafayette Introduction All green
More informationPractical use of the rising plate meter (RPM) on New Zealand dairy farms
Practical use of the rising plate meter (RPM) on New Zealand dairy farms (J.A. Lile et al.) 159 Practical use of the rising plate meter (RPM) on New Zealand dairy farms J.A. LILE, M.B. BLACKWELL, N.A.
More informationMILK DEVELOPMENT COUNCIL DEVELOPMENT OF A SYSTEM FOR MONITORING AND FORECASTING HERBAGE GROWTH
MILK DEVELOPMENT COUNCIL DEVELOPMENT OF A SYSTEM FOR MONITORING AND FORECASTING HERBAGE GROWTH Project No. 97/R1/14 Milk Development Council project 97/R1/14 Development of a system for monitoring and
More informationPlant Water Stress Frequency and Periodicity in Western North Dakota
Plant Water Stress Frequency and Periodicity in Western North Dakota Llewellyn L. Manske PhD, Sheri Schneider, John A. Urban, and Jeffery J. Kubik Report DREC 10-1077 Range Research Program Staff North
More informationThe influence of time of tiller origin and nitrogen level on the floral initiation and ear emergence of four pasture grasses
New Zealand Journal of Agricultural Research ISSN: 0028-8233 (Print) 1175-8775 (Online) Journal homepage: https://www.tandfonline.com/loi/tnza20 The influence of time of tiller origin and nitrogen level
More informationGrowth and Defoliation of Pasture Plants: how the biology of pasture plants relates to grazing levels and pasture productivity
Growth and Defoliation of Pasture Plants: how the biology of pasture plants relates to grazing levels and pasture productivity David B. Hannaway Forage Program Director Crop & Soil Science Department Oregon
More informationCrop Development and Components of Seed Yield. Thomas G Chastain CSS 460/560 Seed Production
Crop Development and Components of Seed Yield Thomas G Chastain CSS 460/560 Seed Production White clover seed field Seed Yield Seed yield results from the interaction of the following factors: 1. Genetic
More informationEFFECTS OF SEED SIZE AND EMERGENCE TIME ON SUBSEQUENT GROWTH OF PERENNIAL RYEGRASS
Phytol (980) 84, 33-38 EFFECTS OF SEED SIZE AND EMERGENCE TIME ON SUBSEQUENT GROWTH OF PERENNIAL RYEGRASS BY ROBERT E. L. NAYLOR School of Agriculture, The University, Aberdeen {Accepted 2 January 979)
More informationTropical Grasslands (1999) Volume 33,
Tropical Grasslands (1999) Volume 33, 122 126 122 Effects of leachates from swards of Bothriochloa pertusa and Urochloa mosambicensis on the growth of four test species, B. pertusa, U. mosambicensis, Stylosanthes
More informationIn vitro digestibility and neutral detergent fibre and lignin contents of plant parts of nine forage species
Journal of Agricultural Science, Cambridge (1998), 131, 51 58. 1998 Cambridge University Press Printed in the United Kingdom 51 In vitro digestibility and neutral detergent fibre and lignin contents of
More informationNew Zealand Journal of Agricultural Research, 1998, Vol. 41: /98/ $7.00/0 The Royal Society of New Zealand 1998
New Zealand Journal of Agricultural Research, 1998, Vol. 41: 1-10 0028-8233/98/4101-0001 $7.00/0 The Royal Society of New Zealand 1998 Determination of tiller and root appearance in perennial ryegrass
More informationCATCHMENT DESCRIPTION. Little River Catchment Management Plan Stage I Report Climate 4.0
CATCHMENT DESCRIPTION Little River Catchment Management Plan Stage I Report Climate 4. Little River Catchment Management Plan Stage I Report Climate 4.1 4. CLIMATE 4.1 INTRODUCTION Climate is one of the
More informationRange Cattle Research and Education Center January CLIMATOLOGICAL REPORT 2016 Range Cattle Research and Education Center.
1 Range Cattle Research and Education Center January 2017 Research Report RC-2017-1 CLIMATOLOGICAL REPORT 2016 Range Cattle Research and Education Center Brent Sellers Weather conditions strongly influence
More informationThe biology and non-chemical control of Perennial Rye-grass (Lolium perenne L.)
The biology and non-chemical control of Perennial Rye-grass (Lolium perenne L.) W Bond, G Davies, R Turner HDRA, Ryton Organic Gardens, Coventry, CV8, 3LG, UK Perennial rye-grass (English ryegrass, ray-grass,
More informationEvaluation of Plant Species Shift on Fertilized Native Rangeland
Evaluation of Plant Species Shift on Fertilized Native Rangeland Report DREC 09-1011 Llewellyn L. Manske PhD Range Scientist North Dakota State University Dickinson Research Extension Center Nitrogen fertilization
More informationChiang Rai Province CC Threat overview AAS1109 Mekong ARCC
Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC This threat overview relies on projections of future climate change in the Mekong Basin for the period 2045-2069 compared to a baseline of 1980-2005.
More informationRelationships between growth and measured weather factors among contrasting varieties of Lolium^ Dactylis and Festuca species
Grass and Forage Science (1985) Volume 40. 151-159 Relationships between growth and measured weather factors among contrasting varieties of Lolium^ Dactylis and Festuca species I. B. NORRIS Welsh Plant
More informationLEAF AND CANOPY PHOTOSYNTHESIS MODELS FOR COCKSFOOT (DACTYLIS GLOMERATA L.) GROWN IN A SILVOPASTORAL SYSTEM
LEAF AND CANOPY PHOTOSYNTHESIS MODELS FOR COCKSFOOT (DACTYLIS GLOMERATA L.) GROWN IN A SILVOPASTORAL SYSTEM A case study of plant physiology and agronomy by Pablo L. Peri PhD - Forestry engineer Unidad
More informationEffects of high plant populations on the growth and yield of winter oilseed rape (Brassica napus)
Journal of Agricultural Science, Cambridge (1999), 132, 173 180. 1999 Cambridge University Press Printed in the United Kingdom 173 Effects of high plant populations on the growth and yield of winter oilseed
More informationLEAF APPEARANCE RATE IN Brachiaria decumbens GROWN IN NITROGEN AND POTASSIUM RATES. Abstract
ID # 01-30 LEAF APPEARANCE RATE IN Brachiaria decumbens GROWN IN NITROGEN AND POTASSIUM RATES M.D.C. Ferragine 1, F.A Monteiro 2 and S. C. da Silva 3 1,2 Departamento de Solos e Prod. Vegetal, Universidade
More informationAssisted colonization of native forbs the use of climate-adjusted provenances. Sue McIntyre
Assisted colonization of native forbs the use of climate-adjusted provenances Sue McIntyre Why move grassland forbs? Grassland forbs need help populations are depleted and fragmented. Climate change likely
More informationGROWTH AND PERSISTENCE OF COMMON TEMPERATURE PASTURE SPECIES UNDER LOW LIGHT AND LOW R:FR RATIO
J. Inst. Agric. Anim. Sci. 27:111-118 (2006) 111 Research Article GROWTH AND PERSISTENCE OF COMMON TEMPERATURE PASTURE SPECIES UNDER LOW LIGHT AND LOW R:FR RATIO N. R. Devkota Institute of Agriculture
More informationVariability of Crested Wheatgrass Production
RANGELANDS 1(3), June 199 153 Variability of Crested Wheatgrass Production over 35 Years Lee A. Sharp, Ken Sanders, and Neil Rimbey In the fall of 195, the Burley Idaho District of the Bureau of Land Management,
More informationR.P.O. Schulte a,b,, E.A. Lantinga b, P.C. Struik b. Abstract
Ecological Modelling 159 (2003) 43/69 www.elsevier.com/locate/ecolmodel Analysis of the production stability of mixed grasslands I: A conceptual framework for the qualification of production stability
More informationJournal of the Science of Food and Agriculture J Sci Food Agric 83: (online: 2003) DOI: /jsfa.1586
Journal of the Science of Food and Agriculture J Sci Food Agric 83:1469 1479 (online: 3) DOI: 10.2/jsfa.1586 Effect of nitrogen fertiliser rates and defoliation regimes on the vertical structure and composition
More informationNovember 2018 Weather Summary West Central Research and Outreach Center Morris, MN
November 2018 Weather Summary Lower than normal temperatures occurred for the second month. The mean temperature for November was 22.7 F, which is 7.2 F below the average of 29.9 F (1886-2017). This November
More informationThe Climate of Kiowa County
The Climate of Kiowa County Kiowa County is part of the Central Great Plains, encompassing some of the best agricultural land in Oklahoma. Average annual precipitation ranges from about 24 inches in northwestern
More informationthose in Arizona. This period would extend through the fall equinox (September 23, 1993). Thus, pending variation due to cloudiness, total light flux
PERFORMANCE OF KENTUCKY BLUEGRASS SEED TREATED WITH METHANOL Fred J. Crowe, D. Dale Coats, and Marvin D. Butler, Central Oregon Agricultural Research Center Abstract Foliar-applied methanol was purported
More informationThe response of native Australian seedlings to heat and water stress. Mallory T. R. Owen
The response of native Australian seedlings to heat and water stress Mallory T. R. Owen Bachelor of Environmental Science Institute of Applied Ecology University of Canberra, ACT 2601, Australia A thesis
More informationCommunicating Climate Change Consequences for Land Use
Communicating Climate Change Consequences for Land Use Site: Prabost, Skye. Event: Kyle of Lochalsh, 28 th February 28 Further information: http://www.macaulay.ac.uk/ladss/comm_cc_consequences.html Who
More informationSeed Development and Yield Components. Thomas G Chastain CROP 460/560 Seed Production
Seed Development and Yield Components Thomas G Chastain CROP 460/560 Seed Production The Seed The zygote develops into the embryo which contains a shoot (covered by the coleoptile) and a root (radicle).
More informationThe Climate of Grady County
The Climate of Grady County Grady County is part of the Central Great Plains, encompassing some of the best agricultural land in Oklahoma. Average annual precipitation ranges from about 33 inches in northern
More informationThe Climate of Payne County
The Climate of Payne County Payne County is part of the Central Great Plains in the west, encompassing some of the best agricultural land in Oklahoma. Payne County is also part of the Crosstimbers in the
More informationAutecology of Hood s Phlox on the Northern Mixed Grass Prairie
Autecology of Hood s Phlox on the Northern Mixed Grass Prairie Llewellyn L. Manske PhD Research Professor of Range Science North Dakota State University Dickinson Research Extension Center Report DREC
More informationRange Cattle Research and Education Center January CLIMATOLOGICAL REPORT 2012 Range Cattle Research and Education Center.
1 Range Cattle Research and Education Center January 2013 Research Report RC-2013-1 CLIMATOLOGICAL REPORT 2012 Range Cattle Research and Education Center Brent Sellers Weather conditions strongly influence
More informationThe Climate of Marshall County
The Climate of Marshall County Marshall County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeastern Oklahoma. Average
More informationSELECTING NEW Brachiaria FOR BRAZILIAN PASTURES. 2 CNPq fellow. Abstract
ID # 13 14 SELECTING NEW Brachiaria FOR BRAZILIAN PASTURES C.B. do Valle 1,2, V.P.B. Euclides 1,2, M.C.M. Macedo 1,2, J R. Valério 1,2 and S. Calixto 1 1 Embrapa Gado de Corte, Caixa Postal 154, 79002-970
More informationNovember 2018 TEMPERATURES RAINFALL RIVER FLOW GROUNDWATER & SOIL LONGER FORECAST
November 2018 TEMPERATURES RAINFALL RIVER FLOW GROUNDWATER & SOIL LONGER FORECAST November 2018 Spring was bookended by very wet months and the solid dry spell in between didn t prevent the season notching
More informationDROUGHT IN MAINLAND PORTUGAL
DROUGHT IN MAINLAND Ministério da Ciência, Tecnologia e Ensino Superior Instituto de Meteorologia, I. P. Rua C Aeroporto de Lisboa Tel.: (351) 21 844 7000 e-mail:informacoes@meteo.pt 1749-077 Lisboa Portugal
More informationRussell W. Wallace. Student. California State University. Fresno. CA Floyd 0. Colbert. Research Scientist. Lilly Research Laboratories. Fresno.
YELLOW FOXTAIL LIFE CYCLE AND GERMINATION parential IN AN E..')TABLISIlliD ALFAl.fA liay ENVIRONMEN"f Russell W. Wallace. Student. California State University. Fresno. CA Floyd 0. Colbert. Research Scientist.
More informationUtilization. Utilization Lecture. Residue Measuring Methods. Residual Measurements. 24 October Read: Utilization Studies and Residual Measurements
Utilization Utilization Lecture 24 October Read: Utilization Studies and Residual Measurements Utilization is the proportion or degree of current year s forage production that is consumed or destroyed
More informationAustralian tropical savanna Information sheet
Australian tropical savanna Information sheet This is an example of an Australian savanna landscape with small trees and the ground covered in grasses. Where Australia s tropical savanna is spread over
More informationCHAPTER-11 CLIMATE AND RAINFALL
CHAPTER-11 CLIMATE AND RAINFALL 2.1 Climate Climate in a narrow sense is usually defined as the "average weather", or more rigorously, as the statistical description in terms of the mean and variability
More informationDescription This type exists as two distinct communities:
Description This type exists as two distinct communities: A) Bluebunch wheatgrass -- big sage This community is dominated by bluebunch wheatgrass with a low (5-10%) cover of big sage brush. The big sage
More informationThe Climate of Pontotoc County
The Climate of Pontotoc County Pontotoc County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeast Oklahoma. Average
More informationPRELIMINARY DRAFT FOR DISCUSSION PURPOSES
Memorandum To: David Thompson From: John Haapala CC: Dan McDonald Bob Montgomery Date: February 24, 2003 File #: 1003551 Re: Lake Wenatchee Historic Water Levels, Operation Model, and Flood Operation This
More informationGrowth and Seed Yield in Kentucky Bluegrass. Thomas G Chastain George Hyslop Professor of Crop and Soil Science
Growth and Seed Yield in Kentucky Bluegrass Thomas G Chastain George Hyslop Professor of Crop and Soil Science Central Oregon Grass Seed Urban Grass Seed Winter Wheat Spring Wheat Barley Corn Beans Peas
More informationGrowth of individual tillers and tillering rate of Lolium perenne and Bromus stamineus subjected to two defoliation frequencies in winter in Argentina
Growth of individual tillers and tillering rate of Lolium perenne and Bromus stamineus subjected to two defoliation frequencies in winter in Argentina G. D. Berone*, F. A. Lattanzi, M. G. Agnusdei and
More informationENGINE SERIAL NUMBERS
ENGINE SERIAL NUMBERS The engine number was also the serial number of the car. Engines were numbered when they were completed, and for the most part went into a chassis within a day or so. However, some
More informationP7: Limiting Factors in Ecosystems
P7: Limiting Factors in Ecosystems Purpose To understand that physical factors temperature and precipitation limit the growth of vegetative ecosystems Overview Students correlate graphs of vegetation vigor
More informationResponse of Annual and Perennial Grass Growth, Energy Reserves and Fuels Accumulation to Climatic Variation
Response of Annual and Perennial Grass Growth, Energy Reserves and Fuels Accumulation to Climatic Variation Brad Schultz Extension Educator University of Nevada Cooperative Extension Winnemucca, NV Types
More informationPublic Library Use and Economic Hard Times: Analysis of Recent Data
Public Library Use and Economic Hard Times: Analysis of Recent Data A Report Prepared for The American Library Association by The Library Research Center University of Illinois at Urbana Champaign April
More informationThe Climate of Bryan County
The Climate of Bryan County Bryan County is part of the Crosstimbers throughout most of the county. The extreme eastern portions of Bryan County are part of the Cypress Swamp and Forest. Average annual
More informationThe Climate of Seminole County
The Climate of Seminole County Seminole County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeastern Oklahoma. Average
More informationSeptember 2018 Weather Summary West Central Research and Outreach Center Morris, MN
September 2018 Weather Summary The mean temperature for September was 60.6 F, which is 1.5 F above the average of 59.1 F (1886-2017). The high temperature for the month was 94 F on September 16 th. The
More informationThe Climate of Haskell County
The Climate of Haskell County Haskell County is part of the Hardwood Forest. The Hardwood Forest is characterized by its irregular landscape and the largest lake in Oklahoma, Lake Eufaula. Average annual
More informationChampaign-Urbana 2001 Annual Weather Summary
Champaign-Urbana 2001 Annual Weather Summary ILLINOIS STATE WATER SURVEY 2204 Griffith Dr. Champaign, IL 61820 wxobsrvr@sws.uiuc.edu Maria Peters, Weather Observer January: After a cold and snowy December,
More informationThe Climate of Murray County
The Climate of Murray County Murray County is part of the Crosstimbers. This region is a transition between prairies and the mountains of southeastern Oklahoma. Average annual precipitation ranges from
More informationCLIMATOLOGICAL REPORT 2002
Range Cattle Research and Education Center Research Report RC-2003-1 February 2003 CLIMATOLOGICAL REPORT 2002 Range Cattle Research and Education Center R. S. Kalmbacher Professor, IFAS, Range Cattle Research
More information3. Assessment of incidence of black beetle adult damage to seedlings in Cropmark Seeds cultivar evaluation trials at Silverdale Road, Hamilton
1 Effects of Neotyphodium uncinatum infected, loline-containing, meadow fescue ryegrass hybrid grasses on the feeding behaviour of black beetle and red-headed pasture cockchafer. 3. Assessment of incidence
More informationSummary report for Ruamāhanga Whaitua Committee The climate of the Ruamāhanga catchment
Summary report for Ruamāhanga Whaitua Committee The climate of the Ruamāhanga catchment The Tararua and Rimutaka ranges have a large influence on the climate of the Ruamāhanga catchment. The ranges shelter
More informationThe Climate of Texas County
The Climate of Texas County Texas County is part of the Western High Plains in the north and west and the Southwestern Tablelands in the east. The Western High Plains are characterized by abundant cropland
More informationA Report on a Statistical Model to Forecast Seasonal Inflows to Cowichan Lake
A Report on a Statistical Model to Forecast Seasonal Inflows to Cowichan Lake Prepared by: Allan Chapman, MSc, PGeo Hydrologist, Chapman Geoscience Ltd., and Former Head, BC River Forecast Centre Victoria
More informationLocal Ctimatotogical Data Summary White Hall, Illinois
SWS Miscellaneous Publication 98-5 STATE OF ILLINOIS DEPARTMENT OF ENERGY AND NATURAL RESOURCES Local Ctimatotogical Data Summary White Hall, Illinois 1901-1990 by Audrey A. Bryan and Wayne Armstrong Illinois
More informationConserving the diversity of forage genetic resources in managed grassland in Switzerland results and implementation
Federal Department of Economic Affairs, Education and Research EAER Agroscope Conserving the diversity of forage genetic resources in managed grassland in Switzerland results and implementation Beat Boller,
More information8.1 Attachment 1: Ambient Weather Conditions at Jervoise Bay, Cockburn Sound
8.1 Attachment 1: Ambient Weather Conditions at Jervoise Bay, Cockburn Sound Cockburn Sound is 20km south of the Perth-Fremantle area and has two features that are unique along Perth s metropolitan coast
More informationA SUMMARY OF RAINFALL AT THE CARNARVON EXPERIMENT STATION,
A SUMMARY OF RAINFALL AT THE CARNARVON EXPERIMENT STATION, 1931-213 J.C.O. Du Toit 1#, L. van den Berg 1 & T.G. O Connor 2 1 Grootfontein Agricultural Development Institute, Private Bag X529, Middelburg
More informationTypes and Categories of
Types and Categories of Range Plants Plants are the "ultimate" source of organic energy in ecosystems Plants produce their through Photosynthesis: Get raw material from soil. When leaves are removed from
More informationCHANGES IN RAINFALL SEASONALITY ( ) AT GROOTFONTEIN, SOUTH AFRICA
CHANGES IN RAINFALL SEASONALITY (1889-2015) AT GROOTFONTEIN, SOUTH AFRICA J.C.O. du Toit 1# and TG O Connor 2 1 Grootfontein Agricultural Development Institute, Private Bag, X529, Middelburg (EC), 5900
More informationResponse of wild wheat populations to grazing in. Mediterranean grasslands: the relative influence of defoliation, competition, mulch and genotype
Ecology 2002 39, Response of wild wheat populations to grazing in Blackwell Science Ltd Mediterranean grasslands: the relative influence of defoliation, competition, mulch and genotype I. NOY-MEIR and
More informationThree main areas of work:
Task 2: Climate Information 1 Task 2: Climate Information Three main areas of work: Collect historical and projected weather and climate data Conduct storm surge and wave modeling, sea-level rise (SLR)
More informationA decision support system for predicting seasonal rainfall variations in sub-humid and semi-arid high country areas
Proceedings of the New Zealand Grassland Association 58: 87 91 (1996) 87 A decision support system for predicting seasonal rainfall variations in sub-humid and semi-arid high country areas G.K. HUTCHINSON
More informationBiologically Effective Grazing Management
Biologically Effective Grazing Management Llewellyn L. Manske PhD Range Scientist North Dakota State University Dickinson Research Extension Center Beneficial Relationships of Grazing and Grass Growth
More informationLeaf Growth in Dactylis glomerata following Defoliation J. L. DAVIDSON' AND F. L. MILTHORPE
Leaf Growth in Dactylis glomerata following Defoliation BY J. L. DAVIDSON' AND F. L. MILTHORPE Unwertity of Nottingham School of Agriculture, Sutton Bonmgton, Loughborovgh ABSTRACT Defoliation to a height
More informationAnalysis of Rainfall and Other Weather Parameters under Climatic Variability of Parbhani ( )
International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 06 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.706.295
More informationInfluence of fertiliser and grazing management on North Island moist hill country
New Zealand Journal of Agricultural Research ISSN: 0028-8233 (Print) 1175-8775 (Online) Journal homepage: http://www.tandfonline.com/loi/tnza20 Influence of fertiliser and grazing management on North Island
More informationSuitability of narrow-leaved Festuca species for turf
Agronomy Research 8 (Special Issue III), 729 734, 2010 Suitability of narrow-leaved Festuca species for turf V. Stukonis, N. Lemežienė and J. Kanapeckas Institute of Agriculture, Lithuanian Research Centre
More informationEVALUATION OF ALGORITHM PERFORMANCE 2012/13 GAS YEAR SCALING FACTOR AND WEATHER CORRECTION FACTOR
EVALUATION OF ALGORITHM PERFORMANCE /3 GAS YEAR SCALING FACTOR AND WEATHER CORRECTION FACTOR. Background The annual gas year algorithm performance evaluation normally considers three sources of information
More informationEFFECTS OF HEATING AND FREEZING ON TRANSLUCENT SCALE IN ONION BULBS
EFFECTS OF HEATING AND FREEZING ON TRANSLUCENT SCALE IN ONION BULBS Clinton C. Shock, Erik B. G. Feibert, and Lamont D. Saunders Malheur Experiment Station Oregon State University Ontario, OR, 2001-2002
More informationAppearance and growth of individual leaves in the canopies of several potato cultivars
Journal of Agricultural Science, Cambridge (1995), 125, 379-394. 1995 Cambridge University Press 379 Appearance and growth of individual leaves in the canopies of several potato cultivars D. M. FIRMAN,
More informationSBEL 1532 HORTICULTURE AND NURSERY Lecture 2: Plants Classification & Taxonomy. Dr.Hamidah Ahmad
SBEL 1532 HORTICULTURE AND NURSERY Lecture 2: Plants Classification & Taxonomy Dr.Hamidah Ahmad Plant Classifications is based on : Purpose of classifying plants: 1. botanical type 2. values or geographical
More informationAgricultural land-use from space. David Pairman and Heather North
Agricultural land-use from space David Pairman and Heather North Talk Outline Motivation Challenges Different approach Paddock boundaries Classifications Examples Accuracy Issues Data sources Future possibilities
More informationRanunculus parviflorus (smallflower buttercup)
Australia/New Zealand Weed Risk Assessment adapted for Florida. Data used for analysis published in: Gordon, D.R., D.A. Onderdonk, A.M. Fox, R.K. Stocker, and C. Gantz. 28. Predicting Invasive Plants in
More informationPREDICTING SOIL SUCTION PROFILES USING PREVAILING WEATHER
PREDICTING SOIL SUCTION PROFILES USING PREVAILING WEATHER Ronald F. Reed, P.E. Member, ASCE rreed@reed-engineering.com Reed Engineering Group, Ltd. 2424 Stutz, Suite 4 Dallas, Texas 723 214-3-6 Abstract
More informationModel of Dry Matter and Plant Nitrogen Partitioning between Leaf and Stem for Coastal Bermudagrass. I. Dependence on Harvest Interval
JOURNAL OF PLANT NUTRITION Vol. 27, No. 9, pp. 1585 1592, 2004 Model of Dry Matter and Plant Nitrogen Partitioning between Leaf and Stem for Coastal Bermudagrass. I. Dependence on Harvest Interval A. R.
More informationU.S. Outlook For October and Winter Thursday, September 19, 2013
About This report coincides with today s release of the monthly temperature and precipitation outlooks for the U.S. from the Climate Prediction Center (CPC). U.S. CPC October and Winter Outlook The CPC
More informationCHAPTER 4 CRITICAL GROWTH SEASONS AND THE CRITICAL INFLOW PERIOD. The numbers of trawl and by bag seine samples collected by year over the study
CHAPTER 4 CRITICAL GROWTH SEASONS AND THE CRITICAL INFLOW PERIOD The numbers of trawl and by bag seine samples collected by year over the study period are shown in table 4. Over the 18-year study period,
More informationClimate also has a large influence on how local ecosystems have evolved and how we interact with them.
The Mississippi River in a Changing Climate By Paul Lehman, P.Eng., General Manager Mississippi Valley Conservation (This article originally appeared in the Mississippi Lakes Association s 212 Mississippi
More informationGrowth Strategy of Rhizomatous and Non-Rhizomatous Tall Fescue Populations in Response to Defoliation
Agriculture 2015, 5, 791-805; doi:10.3390/agriculture5030791 Article OPEN ACCESS agriculture ISSN 2077-0472 www.mdpi.com/journal/agriculture Growth Strategy of Rhizomatous and Non-Rhizomatous Tall Fescue
More informationVulpia myuros (rattail fescue)
Australia/New Zealand Weed Risk Assessment adapted for Florida. Data used for analysis published in: Gordon, D.R., D.A. Onderdonk, A.M. Fox, R.K. Stocker, and C. Gantz. 28. Predicting Invasive Plants in
More informationDetermine the trend for time series data
Extra Online Questions Determine the trend for time series data Covers AS 90641 (Statistics and Modelling 3.1) Scholarship Statistics and Modelling Chapter 1 Essent ial exam notes Time series 1. The value
More informationArgentine stem weevil damage to high sugar ryegrass infected with AR1 under field conditions
271 Argentine stem weevil damage to high sugar ryegrass infected with AR1 under field conditions R.H. BRYANT 1, A.J. PARSONS 2, S. RASMUSSEN 2 and G.R. EDWARDS 1 Agriculture and Life Sciences Division,
More informationStem characteristics of two forage maize (Zea mays L.) cultivars varying in whole plant digestibility. I. Relevant morphological parameters
Stem characteristics of two forage maize (Zea mays L.) cultivars varying in whole plant digestibility. I. Relevant morphological parameters E.J.M.C. Boon 1, 2, F.M. Engels 1, P.C. Struik 1,* and J.W. Cone
More informationGENETIC VARIABILITY WITHIN TWO ADAPTED POPULATIONS OF TALL WHEATGRASS (THYNOPYRUM PONTICUM) IN ARGENTINA.
ID # 12-03 GENETIC VARIABILITY WITHIN TWO ADAPTED POPULATIONS OF TALL WHEATGRASS (THYNOPYRUM PONTICUM) IN ARGENTINA A. Andrés 1 and R. Guillen 2 1 INTA EEA Pergamino. CC 31 (2700) Pergamino, Buenos Aires.,
More informationObserved and Predicted Daily Wind Travels and Wind Speeds in Western Iraq
International Journal of Science and Engineering Investigations vol., issue, April ISSN: - Observed and Predicted Daily Wind Travels and Wind Speeds in Western Iraq Ahmed Hasson, Farhan Khammas, Department
More informationIs that artificial turf or real grass? Its thicker than Bermuda!
Is that artificial turf or real grass? Its thicker than Bermuda! 1 Using Plant Growth Regulators Growth regulators DO NOT interfere with plant respiration, photosynthesis, or other internal plant functions
More informationThorns, Prickles, Spines - The characteristics make the plant less likely to be grazed by large herbivores; not effective against insect herbivores.
PLANT RESPONSE TO DISTURBANCE This discussion is based on: Briske, D. D. 1991. Developmental morphology and physiology of grasses. p. 85-108. In: Grazing Management: An Ecological Perspective. R. K. Heitschmidt
More informationWHEN CAN YOU SEED FALLOW GROUND IN THE FALL? AN HISTORICAL PERSPECTIVE ON FALL RAIN
WHEN CAN YOU SEED FALLOW GROUND IN THE FALL? AN HISTORICAL PERSPECTIVE ON FALL RAIN Steve Petrie and Karl Rhinhart Abstract Seeding at the optimum time is one key to producing the greatest yield of any
More information