Texas, USA 2010 - International Herbage Seed Group

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ConclusionCombined path coefficients and ridge regression model analyses, show that y1 is most importantyield components for improving seed yield, y5 and y3 comes nest, and y4 the least. All of ridgeregression coefficients are > 0, that theoretically means increasing any one of yield component(Y 1 ~Y 5 ) will increase seed yield. Additionally, evidence from this study and others indicates thatridge regression is one of the most promising of the methods available to unravel the tangledskeins of inter co-related factors. Inter-correlated variables are very prevalent in the arrays ofmeasured yield components and other agronomic characters used by herbage breeders trying toenhance the seed yield efficiency of crops.AcknowledgementsThe National Basic Research and Development Programme (973 project, 2007CB106805) andthe Key Laboratory of Grassland Agro-ecosystems, Ministry of Agriculture of P R China, fundedthis work. We are grateful to my skilful technical assistants, Mr. Zhang Bing, Miss Yan Xuehua,of Daye Institute of Forage & Grass Products in Jiuquan, Gansu Branch of Chengdu DayeInternational Interest Co. LtdReferencesDas, M.K., and C.M. Taliaferro (2009). Genetic variability and interrelationships of seed yieldand yield components in switchgrass. Euphytica 167:95-105.Fang L N, Han J G, et al. (2001). Seed Yield Response of Smooth Brome to Nitrogen, PlantGrowth Regulator and Environmental Influences, Grassland of China, 23(4):31~37Ghebremariam, W.K., G.F. Ortmann, and I.V. Nsahlai. (2006). A production function analysis ofcommercial dairy farms in the Highlands of Eritrea using ridge regression. Agrekon 45:225-242.Hoerl A.E., R.W.Kennard (1970a). Ridge regression: Applications to non-orthogonal problems.Technometrics 12:69-82.Hoerl A.E., R.W.Kennard.(1970b).Ridge regression: biased estimation for non-orthogonalproblem.Technometrics 12:55-67.Mao P S, Han J G, Wang P et al, (2000),Effects of Fertilizer Application on Seed Yield ofSmooth Bromegrass and Siberian Wildrye, Acta Agrestia Sinica, 8:273-278Milligan S.B., K.A.Gravois, K.P.Bischoff, F.A.Martin.(1990). Crop effects on geneticrelationships among sugarcane traits. Crop Science 30:927-931.227
Newell G.J., Lee B. (1981)Ridge regression: an alternative to multiple linear regression forhighly correlated data [in food technology].Journal of Food Science (USA),46:968-969.SAS Institute Inc. (1988). SAS/STAT User's Guide.North Carolina:SAS Institute Inc..Sured H., Z.K.Korkut, O.Bilgin (1998). Correlation and path analysis for yield and yieldcomponents in rice in a 8-parent half diallet set of crosses.Oryza,35:15-18.Thimmegowda, M.N., V.K.K. Kumar, A.G. Bandi, and Sharanappa. (2008). Correlation,regression and path coefficient analysis of seed yield with other attributes as influenced byirrigation, land and water management practices in sunflower. Research on Crops 9:367-370.Wang, Z.Y., J. Bell, and D. Lehmann. (2004). Transgenic Russian wildrye (Psathyrostachysjuncea) plants obtained by biolistic transformation of embryogenic suspension cells. PlantCell Reports 22:903-909.Wu, Y.Q., C.M. Taliaferro, et al. (2008). Correlation analyses of seed yield and its componentsin bermudagrass. Multifunctional grasslands in a changing world, Volume II: XXIInternational Grassland Congress and VIII International Rangeland Congress, Hohhot,China, 29 June-5 July 2008:562.Zhang X S, Dai L Y and Wang Z J, (2002), Smooth Bromegrass,. Xinjiang Animal Husbandry4:28~29.Table.1 Field Experimental design and factors(P. juncea )Field experimental design groups Factors Repeat blocks1.2-D-optimum orthogonal design(1)* 2(X 3 ,X 4 ) 3 182.2-D-optimum orthogonal design(2)* 2(X 3 ,X 4 ) 1 63.Quinque-factor orthogonal design 5(X 1 ~X 5 ) 1 364.Bin-factor orthogonal contract blocks 2(X 2 ,X 3 +X 4 ) 1 225.Tri-factor orthogonal design 3(X 1 ,X 3 ,X 6 ) 1 23CK -- 7 7total 6(X 1 ~X 6 ) -- 112Note: *: Applied N and P 2 O 5 differently between design (1) and (2); X 1 ~X 6 : is time of fertilizing, quantity ofirrigation, applied nitrogen, applied P 2 O 5 , planted density, amount of spray plant regulator Paclobutrazol(PP333),respectively.228
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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
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Determination of optimum desiccatio
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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 and 234: Organization of grass seed research
Page 235 and 236: Path Coefficient and Ridge Regressi
Page 237: through y4 (0.133). Increasing y 1
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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