Texas, USA 2010 - International Herbage Seed Group

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Results of herbicide screening on 20 grasses in the Netherlands in 2009J. Wander 1 & S. de Vlieger 23. DLV Plant, De Drieslag 15, 8251 JZ Dronten, The Netherlands, j.wander@dlvplant.nl, +31-6513764894. Agrarisch Innovatie en Kenniscentrum Rusthoeve, Noordlangeweg 42, 4486 PR, Colijnsplaat, TheNetherlands, samdevlieger@proefboerderij-rusthoeve.nl, +31-10707213AbstractIn 2009 in the Netherlands 26 herbicides and combinations of herbicides were tested in 2 doseson 20 grasses. Most grasses were sprayed at the three leaves stage. A total of more than 1000plots were observed 3 times. The tested grasses were grass seed crops, weeds or species formixtures in turfgrasss: black grass (Alopecurus myosuroides) , perennial ryegrass – lawn andfodder (Lolium perenne) , Prairie June Grass (Koeleria pyramidata) , sheep fescue (Festucaovina) , orchard grass (Dactylis glomerata) , brome fescue (Vulpia bromoides) , rat tail fescue(Vulpia myuros) , tall fescue – lawn and fodder (Festuca arundinaceae) , red fescue (Festucarubra) , creeping red fescue (Festuca rubra) , rough stalked meadowgrass (Poa trivialis) ,tufted hairgrass (Deschampsia cespitosa) , annual bluegrass (Poa annua) , common bent(Agrostis capillaris) , smooth stalked meadowgrass (Poa pratensis) , bentgrass (Apera spicaventi), common velvetgrass (Holcus lanatus) , soft brome (Bromus hordeaceus).The tested product were: carfentrazone-ethyl, clodinafop / pinoxaden, pinoxaden, dimethenamid-P, dimethenamide-P / terbuthylazine, clomazone, diflufenican, ethofumesate,methabenzthiazuron, propyzamide, tepraloxydim, iodosulfuron, jodosulfuron-methyl-Na /mesosulfuron-methyl, nicosulfuron (Accent and Milagro), rimsulfuron and sulfosulfuron.Several results were promising for controlling weed grasses in grass seed crops or in turfgrasses.A promising result for example: the control of Poa annua, Apera spica-venti and Vulpia spp inAgrostis capillaris, Poa pratensis, Festuca ovina and F. rubra with the combination ofethofumesate and rimsulfuron.223
Path Coefficient and Ridge Regression Analysis to Improve <strong>Seed</strong> Yield ofPsathyrostachys juncea NevskiWANG Quanzhen 2, 2 , CUI Jian 1 , ZHOU He 2 , WANG Xianguo 2 , ZHANG Tiejun 3 and HAN Jianguo 2*1 College of Animal Sci. and Techn., China Agricultural University, Beijing 100094, China, 2 College ofAnimal Sci. and Techn., Northwest A&F University, Yangling 712100, Shaanxi Province, China,3 Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR ChinaE-mail: wangquanzhen191@163.comAbstractBased on multi-factor orthogonal designed field experimental blocks, the yield components andtheir direct and indirect influences on the seed yield of Psathyrostaehys juncea Nevski. wereinvestigated under variable growing conditions. In each block the yield components: fertiletillers/m 2 (y1), spikelets/fertile tillers (y2), florets/spikelet (y3), seed numbers/spikelet (y4), seedweight (y5) and seed yield were determined by hand in 2003. The results show that in P. juncea .seed yield is significantly correlated with yield components y1 (0.749***), y2 (0.159*) and y5(0.231*). All of the ridge regression coefficients are >0, which means that increasing any one ofthe yield components (y1~y5) will increase seed yield, in accordance with biological theory.This study indicates that ridge regression is one of the most promising methods available tounravel the tangled skeins of inter-correlated factors.IntroductionPsathyrostachys juncea Nevski is a cool-season forage species well adapted to semi-aridclimates (Wang et al., 2004). We are interested in investigating the relationships between theseed yield and its components to improve the seed yield of this forage grass.The advantage of path analysis is that it permits the partitioning of the correlation coefficient intoits components, one component being the path coefficient that measures the direct effect of apredictor variable upon its response variable; the second component being the indirect effect(s)of a predictor variable on the response variable through another predictor variable (Milligan etal., 1990).Path analysis has been used by plant breeders to assist in identifying traits that areuseful as selection criteria to improve crop yield.For grass crops, the correlation of economic yield components with grain yield and thepartitioning of the correlation coefficient into its components of direct and indirect effects havebeen extensively reported: e.g. highly significant associations of grain yield were observed with224
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Proceedings of the 7th Internationa
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Table of ContentsORAL PRESENTATIONS
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Seed yield components and yield per
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International Herbage Seed Conferen
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16:15 - 16:30 Reliability of salini
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Hotel expense is covered for night
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40,000 were slaves (McDonald, 2007)
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Fig. 1. Texas AgriLife Research and
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$7 billion for cattle, $3 billion f
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principle and encourages both AgriL
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eceived by growers, the above perce
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seed conditioning plants are locate
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Table 4.Hectares of open-field burn
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system, a seed crop is produced fro
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Fig. 1. Land resource areas of Texa
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y land owners. Seed yields are low
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The influence of planting density o
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Simple correlation and regression a
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Variation in seed shattering in a g
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Seed retention (SR) was calculated
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mm160120Precipitation8040020Km h -1
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Young, B. A. (1986). A Source of Re
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Several methods are commonly used f
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Table 3. Effect of the length of ha
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Alfalfa seed production in semi-hum
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Rather near the meteorological stat
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ReferencesBolaños-Aguilar E.D., Hu
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ased bioenergy conversion plants wa
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Table 1. Average distances required
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Figure 1. Optimized locations for 1
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Perennial ryegrass (Lolium perenne
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Relative Seed Yieldsingle composite
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Flowers, M.D.; Hart, J.M.; Young II
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Thus, similar to tissue tests, remo
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Conclusion:Perhaps our most importa
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Modelling critical NDVI curves in p
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The five spectral reflectance measu
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Harvest loss in ryegrass seed crops
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Larger than expected harvest losses
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Rolston, P.; Trethewey, J.; McCloy,
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Optical sensors have the potential
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Figure 2. Seed yield response to ap
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Flowers, M. D., Hart, J.M., Young I
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In 2010, France has launched the fo
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Yield (% maximum)ConclusionThe resu
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Plant N uptakeN unavailableSoil nit
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Stresses associated with germinatio
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correspond to electrical conductivi
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applied later in the fall was more
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Figure 2. Establishment of five ove
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The seed vigour testing was perform
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Table 1. Germination index (GI) for
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Reliability of salinity screening L
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AcknowledgmentThis research was sup
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Table 2. Greenhouse salinity screen
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The seeds were collected from the A
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increases germination to its potent
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Light, lodging and flag leaves-what
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Relative seed yieldSeed yield (kg/h
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Hampton, J.G.; Clemence, T.G.A.; He
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The seed set is of major importance
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In grass species with poor seed ret
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support system to optimize fungicid
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weather stations in grass seed fiel
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ust resistance loci in Lolium peren
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Seed yield variation in a red clove
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100Seed yield plant -1 (g)806040200
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Marden, J. H. 1984. Remote percepti
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Crimson clover seed production in t
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Piper, C.V. 1935. Forage plants and
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deal of investigation into the caus
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genes and subsequent ability to pro
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Gatenby, W.A., S.C. Munday-Finch, A
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Control of Vulpia myuros in red fes
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The strip design provides an opport
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The pot experiments did not reveale
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CharacterWeed abundance1 A few plan
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Jensen, P. K. (2010) Longevity of s
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Effects of intraspecific competitio
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flowering, Gangi accumulated a high
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The seed yield of Gangi was, on ave
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Seed yield components and yield per
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ResultsVariation among populations
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Table 2. Means of total seeds per p
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Ryle, G. J. (1970). Partition of As
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Control of Apion trifolii in red cl
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Number of seeds /inflorescencesimil
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population. However, in spite of th
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Corvallis where they were debearded
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Table 1. Effect of Palisade growth
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Variations on potential and harvest
Page 183 and 184: Determination of optimum desiccatio
Page 185 and 186: Relative seed yield (%)Flowers/m225
Page 187 and 188: Harvesting too soon after peak flow
Page 189 and 190: Annual ryegrass seed production in
Page 191 and 192: seed yield, kg/haExtractable Al, mg
Page 193 and 194: ReferencesHaby, V.A. (1995). Soil m
Page 195 and 196: Kentucky bluegrass (Poa pratensis L
Page 197 and 198: urn residue management (Fig. 1 and
Page 199 and 200: Comparing herbicide selectivity in
Page 201 and 202: Development of new tetraploid Chlor
Page 203 and 204: Following 4 (or 5) cycles of select
Page 205 and 206: Loch, D.S., Rethman, N.F.G. & van N
Page 207 and 208: KBGcocksfootHykorLofatimothymeadowf
Page 209 and 210: Figure 2 Relative seed yield (%) se
Page 211 and 212: and GA 4 . In consequence this inac
Page 213 and 214: Table 1 The effect of trinexapac-et
Page 215 and 216: Silberstein, T.B., Young, W.C. III,
Page 217 and 218: inflorescece number and seed yield
Page 219 and 220: Germination of Lolium multiflorum g
Page 221 and 222: Effect of sowing density on seed yi
Page 223 and 224: y-products of this grass seed crop
Page 225 and 226: Table 2. Effect of PGR on seed yiel
Page 227 and 228: Further culm length measurements ga
Page 229 and 230: chlorophyllometer. Measurements wer
Page 231 and 232: Table 2. Photosynthesis rate of fla
Page 233: Organization of grass seed research
Page 237 and 238: through y4 (0.133). Increasing y 1
Page 239 and 240: Newell G.J., Lee B. (1981)Ridge reg
Page 241 and 242: Relative humidity, seed moisture co
Page 243 and 244: Ergovaline contents in grasses from
Page 245 and 246: 11.8 % (Central East) to 40.0% (Nor
Page 247 and 248: ReferencesBony, S. & Delatour, P. (
Page 249 and 250: Long-term Evaluation of Annual Ryeg
Page 251 and 252: seed yield. All systems of establis
Page 253 and 254: Preliminary results after four year
Page 255 and 256: Casals, Marie-LaureFNAMSImpasse du
Page 257 and 258: Mao, PeishengForage Seed LabChina A
Page 259 and 260: Vanasche, DavidVanasche Farm36130 N
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Texas, USA 2010 - International Herbage Seed Group

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