Evaluation of herbage yield in a forage grass breeding program: comparison of visual rating versus measurement in single-row plots or swards

2001 ◽  
Vol 41 (8) ◽  
pp. 1161 ◽  
Author(s):  
K. F. Smith ◽  
M. Tasneem ◽  
G. A. Kearney ◽  
K. F. M. Reed ◽  
A. Leonforte

To refine selection methods for a perennial ryegrass (Lolium perenne L.) breeding program, half-sib families and commercial cultivars were evaluated for 3 years with treatments sown as both single-drill rows or swards. Dry matter yield of the perennial ryegrass treatments was evaluated several times in each year as a visual score which was subsequently calibrated against a regression determined by cutting a subset of plots or by cutting all plots. Thus, the experiment evaluated 2 aspects of herbage-yield determination in a perennial ryegrass breeding program: (i) the use of visual estimates of herbage yield to reduce the time spent cutting plots, and (ii) the use of single-row plots compared with swards. The correlation (either as Pearsons correlation coefficient, or Spearmans rank correlation coefficient) between visual estimates of herbage yield was always significant (P<0.01), with the exception of the rank correlation for sward plots in the summer 1995 (r = 0.4; P<0.05). However, the extent of the correlation varied (r = 0.4–0.9), and at some harvests calibrated visual ratings only explained a small proportion of the variance observed in harvested dry matter yields. These data suggest that visual ratings of herbage yield would be accurate enough to be used to detect large differences between families, breeding lines, cultivars or accessions of perennial ryegrass. However, when differences between lines are likely to be small, then harvesting all plots would give a more accurate estimate of the yield of perennial ryegrass lines. Likewise, the herbage yield of perennial ryegrass in single-row plots was significantly correlated with the herbage yield of perennial ryegrass sown as swards (P<0.01 or P<0.05). However, the correlation was again variable leading to the conclusion that evaluation of perennial ryegrass as single-row plots was not always an accurate indicator of sward yield. For those 4 (of 13) harvests over 3 years where the interaction between sward yield and row yield of the perennial ryegrass lines was significant (P<0.05), this interaction was shown not to be due to significant rank changes but rather to an increase in the differences of yield in swards or yield in single-row plots. We conclude that the harvesting of swards was the most reliable method of estimating the dry matter yield of perennial ryegrass cultivars. However, significant correlations between visual rating of treatments, or yield in single-row plots and measured yield as swards illustrated that these methods (visual ratings and single-plot yields) could be used to reduce the cost of evaluating differences in the herbage yield potential of perennial ryegrass, especially when these differences were likely to be large or when seed is limited, such as during the evaluation of accessions.

2015 ◽  
Vol 77 ◽  
pp. 227-232 ◽  
Author(s):  
J.R. O'Connor ◽  
T.B. Lyons ◽  
M.Z.Z. Jahufer ◽  
M. Faville ◽  
B.A. Barrett

Plant breeders aim to develop cultivars of perennial ryegrass Lolium perenne L., (PRG) that better support New Zealand farmers through improved genetic potential for key traits such as seasonal dry matter yield. Hybrid vigour (heterosis) may be one way plant breeders can increase dry matter yields, and potentially lift the long term rate of genetic gain. We report evaluation of PRG full-sibling progeny for heterosis expressed under grazing. Parents were randomly sampled from sixteen cultivars, and for each cultivar combination within mid-season and late season classes, six pair crosses were made. In 2013, replicated single row trials of parent cultivar samples and progeny were sown at two sites near Palmerston North. For 2 years, prior to each grazing, growth score (GS) data were recorded to estimate dry matter yield of each plot. Progeny GS relative to parent average GS (mid-parent heterosis, MPH), and better parent GS (high-parent heterosis, HPH) were calculated on the basis of the mean GS over years and sites. Significant (P


Author(s):  
B.A. Barrett ◽  
M.A. Turner ◽  
T.B. Lyons ◽  
M.P. Rolston ◽  
H.S. Easton

The yield potential of modern forage cultivars is a limit to production from pasture- based agriculture, and may influence profitability. Hybrid vigour has increased yield in a range of plant species, but is only partially captured in conventional forage breeding systems. The objective of this research was to assess the potential for harnessing hybrid vigour in a semi-hybrid breeding system for perennial ryegrass (Lolium perenne). Paired crosses among eight parental sources, including four cultivars and four ecotypes, were used to create 28 semi-hybrid populations. Parents, semi-hybrids and check cultivars were trialled in pure grass plots under rotational grazing for 2 years in the Manawatu. Dry matter yield data were used to estimate cumulative and seasonal patterns of hybrid vigour expression for cultivar x cultivar semi-hybrid combinations. The mean level of high parent heterosis was less than 2%. However, one combination exhibited significant (p


Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3971
Author(s):  
Gabriel Silva de Oliveira ◽  
José Marcato Junior ◽  
Caio Polidoro ◽  
Lucas Prado Osco ◽  
Henrique Siqueira ◽  
...  

Forage dry matter is the main source of nutrients in the diet of ruminant animals. Thus, this trait is evaluated in most forage breeding programs with the objective of increasing the yield. Novel solutions combining unmanned aerial vehicles (UAVs) and computer vision are crucial to increase the efficiency of forage breeding programs, to support high-throughput phenotyping (HTP), aiming to estimate parameters correlated to important traits. The main goal of this study was to propose a convolutional neural network (CNN) approach using UAV-RGB imagery to estimate dry matter yield traits in a guineagrass breeding program. For this, an experiment composed of 330 plots of full-sib families and checks conducted at Embrapa Beef Cattle, Brazil, was used. The image dataset was composed of images obtained with an RGB sensor embedded in a Phantom 4 PRO. The traits leaf dry matter yield (LDMY) and total dry matter yield (TDMY) were obtained by conventional agronomic methodology and considered as the ground-truth data. Different CNN architectures were analyzed, such as AlexNet, ResNeXt50, DarkNet53, and two networks proposed recently for related tasks named MaCNN and LF-CNN. Pretrained AlexNet and ResNeXt50 architectures were also studied. Ten-fold cross-validation was used for training and testing the model. Estimates of DMY traits by each CNN architecture were considered as new HTP traits to compare with real traits. Pearson correlation coefficient r between real and HTP traits ranged from 0.62 to 0.79 for LDMY and from 0.60 to 0.76 for TDMY; root square mean error (RSME) ranged from 286.24 to 366.93 kg·ha−1 for LDMY and from 413.07 to 506.56 kg·ha−1 for TDMY. All the CNNs generated heritable HTP traits, except LF-CNN for LDMY and AlexNet for TDMY. Genetic correlations between real and HTP traits were high but varied according to the CNN architecture. HTP trait from ResNeXt50 pretrained achieved the best results for indirect selection regardless of the dry matter trait. This demonstrates that CNNs with remote sensing data are highly promising for HTP for dry matter yield traits in forage breeding programs.


1985 ◽  
Vol 40 (2) ◽  
pp. 267-277 ◽  
Author(s):  
T. A. Stewart ◽  
I. I. McCullough

ABSTRACTSilage cut twice annually (June and August) from a tetraploid red clover/grass sward and three times annually (May, July and September) from a low nitrogen (N) and high N perennial ryegrass/white clover sward was fed in proportion to dry-matter yield from each cut, over a 10-week period, each winter for 3 years to castrated male cattle of initial live weight 401 kg in year 1 and 425 kg in years 2 and 3. The silages were supplemented with 0, 1, 2 and 3 kg concentrate per head daily.Total dry-matter yield from the red clover/grass sward was similar to that from the perennial ryegrass/white clover sward (high N grass) receiving 360 kg N per ha but the digestibility, particularly of first cut material was much lower. Dry-matter production of the low N grass/white clover sward was 0·73 of high N grass sward and produced silages of similar digestibility and fermentation.Dry-matter intakes by the cattle were higher on the legume-based silages in years when clover made a worthwhile contribution to total yield, but this did not significantly improve utilization or animal performance compared with high N grass silage. Mean daily carcass gain per head on red clover/grass silage was 0·41 kg which was significantly less than the 0·61 kg on white clover/grass silage and 0·59 on high N grass (P < 0·001). Carcass output from red clover/grass silage was 618 kg/ha and 629 kg/ha from white clover/grass, both of which were significantly less than the 863 kg/ha from the high N grass silage (P < 0·001). Dressing proportion was also significantly poorer in animals fed red clover/grass silage compared with the other silage types.


2000 ◽  
Vol 2000 ◽  
pp. 89-89 ◽  
Author(s):  
T.W.J. Keady ◽  
C.S. Mayne ◽  
D A Fitzpatrick

Grass forms the basal forage for the majority of ruminant livestock in Ireland and the UK. Level of nitrogen (N) and harvest date are the two major factors affecting the yield of herbage. In a concurrent study, Keady et al. (1999) concluded that herbage dry matter (DM) yield of the primary growth of a perennial ryegrass sward is increased by 7.9 kg DM/ha/kg N and by 152 kg DM/ha/day delay in harvest respectively. However as herbage yield increases, particularly as a result of delayed harvest, digestibility declines. The present study was undertaken to evaluate the effects of rate of N fertilisation application and harvest date on the degradation characteristics of grass.


1978 ◽  
Vol 90 (3) ◽  
pp. 447-457 ◽  
Author(s):  
D. Reid

SummaryIn a 3-year experiment on a sward of S. 23 perennial ryegrass 21 rates of nitrogen fertilizer ranging from 0 to 897 kg/ha were applied annually on plots cut three, five or ten times per year. The cutting dates within each frequency were decided on the basis of herbage growth stage. Four-parameter exponential curves fitted to the herbage yield data show that the pattern of response to nitrogen application in the five cuts per year treatment was markedly similar to that reported for a previous experiment (Reid, 1970). Alterations in the cutting frequency affected the pattern of dry-matter yield response to nitrogen, but not that of crude-protein yield response. The combined effects of cutting frequency and nitrogen rate are illustrated by response surfaces fitted to the dry-matter yield results using an extension of the equation for the curves fitted to the individual frequency results. These surfaces show that as the number of cuts per year was increased the total yield and the response to nitrogen decreased, but the response was maintained to an increasingly high nitrogen rate. The practical implications of the results are discussed in relation to intensive grazing managements for dairy cows.


2016 ◽  
Vol 78 ◽  
pp. 149-156 ◽  
Author(s):  
S.J. Hendriks ◽  
D.J. Donaghy ◽  
C. Matthew ◽  
M.R. Bretherton ◽  
N.W. Sneddon ◽  
...  

Alternative pasture species with the potential to supply quality forage during summer feed shortages, such as tall fescue (TF), are of interest to dairy farmers. A paddockscale study was undertaken to compare performance of TF managed on a shorter rotation similar to perennial ryegrass (RG) (TF-RG) with TF managed on a longer rotation more consistent with its morphology of 4 live leaves/tiller (TF-TF), and with RG (RG-RG). Accumulated dry matter (DM) yields were similar for the three treatments. Patch grazing was observed during the first spring, with more long patches in TFTF than in either TF-RG or RG-RG. Sown-species leaf area index (LAI) was greater in TF-TF compared with TF-RG and RG-RG (2.25, 1.56 and 0.90, respectively; P


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