Genotyping-by-sequencing for genomic selection of perennial ryegrass (Lolium perenne)

2018 ◽  
pp. 9-16
Author(s):  
J. Jacobs ◽  
M. Faville ◽  
A. Griffiths ◽  
M. Cao ◽  
R. Tan ◽  
...  
Keyword(s):  
Genomic Selection ◽  
Lolium Perenne ◽  
Perennial Ryegrass ◽  
Genotyping By Sequencing ◽  
Selection Of

scholarly journals Predictive ability of genomic selection models in a multi-population perennial ryegrass training set using genotyping-by-sequencing

2017 ◽  
Vol 131 (3) ◽  
pp. 703-720 ◽  
Author(s):  
Marty J. Faville ◽  
Siva Ganesh ◽  
Mingshu Cao ◽  
M. Z. Zulfi Jahufer ◽  
Timothy P. Bilton ◽  
...  
Keyword(s):  
Genomic Selection ◽  
Perennial Ryegrass ◽  
Predictive Ability ◽  
Genotyping By Sequencing ◽  
Training Set ◽  
Selection Models

Assessment and selection of initial material for breeding perennial ryegrass (Lolium perenne L.)

1970 ◽  
Vol 74 (3) ◽  
pp. 433-444 ◽  
Author(s):  
Manuel A. M. Do Valle Ribeiro
Keyword(s):  
Lolium Perenne ◽  
Perennial Ryegrass ◽  
Dry Matter ◽  
Ground Cover ◽  
Breeding Programme ◽  
Initial Material ◽  
Lolium Perenne L ◽  
Growing Seasons ◽  
Oak Park ◽  
Selection Of

SUMMARYA breeding programme initiated at Oak Park, Carlow, in September 1965, in which perennial ryegrass plants, instead of being widely spaced as traditionally used in grassbreeding, were planted 9 x 9 in apart, is described. At this density, plants were individually distinguishable throughout three growing seasons yet gave a complete ground cover of herbage on which was imposed two contrasting systems of defoliation. Data on ear emergence, dry-matter yields, persistence and some quality components agreed with data obtained from swards by other workers.

scholarly journals Genomic Predictive Ability for Foliar Nutritive Traits in Perennial Ryegrass

2019 ◽  
Vol 10 (2) ◽  
pp. 695-708 ◽  
Author(s):  
Sai Krishna Arojju ◽  
Mingshu Cao ◽  
M. Z. Zulfi Jahufer ◽  
Brent A. Barrett ◽  
Marty J. Faville
Keyword(s):  
Genomic Selection ◽  
Perennial Ryegrass ◽  
Nutritive Value ◽  
Prediction Models ◽  
Predictive Ability ◽  
Genotyping By Sequencing ◽  
Water Soluble ◽  
Soluble Carbohydrate ◽  
Training Set ◽  
Sib Families

Forage nutritive value impacts animal nutrition, which underpins livestock productivity, reproduction and health. Genetic improvement for nutritive traits in perennial ryegrass has been limited, as they are typically expensive and time-consuming to measure through conventional methods. Genomic selection is appropriate for such complex and expensive traits, enabling cost-effective prediction of breeding values using genome-wide markers. The aims of the present study were to assess the potential of genomic selection for a range of nutritive traits in a multi-population training set, and to quantify contributions of family, location and family-by-location variance components to trait variation and heritability for nutritive traits. The training set consisted of a total of 517 half-sibling (half-sib) families, from five advanced breeding populations, evaluated in two distinct New Zealand grazing environments. Autumn-harvested samples were analyzed for 18 nutritive traits and maternal parents of the half-sib families were genotyped using genotyping-by-sequencing. Significant (P < 0.05) family variance was detected for all nutritive traits and genomic heritability (h2g) was moderate to high (0.20 to 0.74). Family-by-location interactions were significant and particularly large for water soluble carbohydrate (WSC), crude fat, phosphorus (P) and crude protein. GBLUP, KGD-GBLUP and BayesCπ genomic prediction models displayed similar predictive ability, estimated by 10-fold cross validation, for all nutritive traits with values ranging from r = 0.16 to 0.45 using phenotypes from across two locations. High predictive ability was observed for the mineral traits sulfur (0.44), sodium (0.45) and magnesium (0.45) and the lowest values were observed for P (0.16), digestibility (0.22) and high molecular weight WSC (0.23). Predictive ability estimates for most nutritive traits were retained when marker number was reduced from one million to as few as 50,000. The moderate to high predictive abilities observed suggests implementation of genomic selection is feasible for most of the nutritive traits examined.

Effect of bacterial fertilizers on the properties of a pseudomyceliar chernozem soil and on the biomass of perennial ryegrass (Lolium perenne L.)

2011 ◽  
Vol 60 (1) ◽  
pp. 219-232 ◽  
Author(s):  
Anita Jakab ◽  
János Kátai ◽  
Magdolna Tállai ◽  
Andrea Balláné Kovács
Keyword(s):  
Lolium Perenne ◽  
Perennial Ryegrass ◽  
Chernozem Soil ◽  
Lolium Perenne L

A tenyészedényes kísérletünket a DE AGTC MÉK Agrokémiai és Talajtani Intézet tenyészházában állítottuk be 2010. május 27-én. A kísérletben Debrecen-Látókép környékéről származó mészlepedékes csernozjom vályogtalajt alkalmaztunk, amely az alábbi jellemzőkkel rendelkezett: KA: 37,5; leiszapolható rész: 51%; pH(KCl): 5,5; pH(H2O): 6,6; Hu%: 2,8; AL-P2O5: 140 mg·kg-1; AL-K2O: 316,3 mg·kg-1. Az adatok alapján a kísérleti talaj gyengén savanyú, vályog kötöttségű, közepes nitrogén- és foszfor-, valamint jó kálium-ellátottsággal rendelkezett. A kísérletben kontroll-, műtrágya-, valamint szalmakezelést alkalmaztunk, melyeket bizonyos kombinációkban három különböző baktériumkészítménnyel (Bactofil A, EM-1, Microbion UNC) egészítettünk ki. A kísérletet három ismétlésben véletlenblokk elrendezésben állítottuk be. A tesztnövény angolperje (Lolium perenneL.) volt. A kísérlet kezdetétől számított 8. héten a talaj-, valamint a növényminták begyűjtésére került sor. Meghatároztuk a növényminták száraztömegét, a növény foszfor- és káliumtartalmát, valamint a talajminták nitrát-, valamint AL-oldható foszfor- és káliumtartalmát. Eredményeink alapján főbb megállapításaink a következők: – Az angolperje száraztömegét a műtrágyakezelés szignifikánsan növelte. A hatás a tápelem-ellátottság javulásával magyarázható. – A növény foszforkoncentrációja a műtrágyázás következtében csökkent, amelyet a hígulási effektussal magyarázhatunk. – A növény káliumkoncentrációját a műtrágya-, valamint a műtrágya+baktériumtrágya kezelések szignifikánsan serkentették. – A talaj nitráttartalma szignifikánsan növekedett a műtrágyakezelés kivételével minden kezelésben. – A talaj AL-P2O5-tartalma az NPK-műtrágyázás és az EM-1 kezelés következtében statisztikailag igazolható mértékben megnövekedett, míg az AL-K2O-tartalom kizárólag a szalmakezelés hatására nőtt. A baktériumkészítmények önmagukban alkalmazva általában nem eredményeztek jelentős változást a vizsgált paraméterekben, azonban a készítmények szerves/ásványi anyagokkal kombinált adagolása esetében különböző mértékben befolyásolták a vizsgált mutatókat.

The effect of biological additives on the composition and nutritive value of silage

1990 ◽  
Vol 1990 ◽  
pp. 139-139
Author(s):  
M Gonzalez Yanez ◽  
R Mcginn ◽  
D H Anderson ◽  
A R Henderson ◽  
P Phillips
Keyword(s):  
Cell Wall ◽  
Lactic Acid ◽  
Lactic Acid Bacteria ◽  
Lolium Perenne ◽  
Perennial Ryegrass ◽  
Nutritive Value ◽  
Enzyme System ◽  
Lolium Perenne L ◽  
Grass Silage ◽  
Forage Harvester

It Is claimed that the use of the correct enzyme system as an additive on grass silage will satisfactorily control the fermentation and reduce the cell-wall fibre content, thus preserving the nutrients In the silage and aiding their utilisation by the animal (Henderson and McDonald, 1977; Huhtanen et al, 1985; Raurama et al, 1987; Chamberlain and Robertson, 1989; Gordon, 1989;).The aim of the present experiment was to assess the effect of biological additives, enzymes or a combination of enzymes with an Inoculum of lactic acid bacteria, on the composition of silage and on its nutritive value when offered to store lambs as the sole constituent of their diet.On 1st June 1988, first cut perennial ryegrass (Lolium perenne L) at pre-ear emergence was ensiled direct cut untreated (U), treated with a commercial enzyme (E) or with a commercial inoculum of lactic acid bacteria with enzymes (I) in 6t capacity bunker silos. The grass was cut with a mower and lifted with a New Holland precision chop forage harvester. The additives were pumped onto the grass using a dribble bar sited over the pick-up drum.

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