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Items: 1 to 20 of 731

1.

Review: High-throughput phenotyping to enhance the use of crop genetic resources.

Rebetzke GJ, Jimenez-Berni J, Fischer RA, Deery DM, Smith DJ.

Plant Sci. 2019 May;282:40-48. doi: 10.1016/j.plantsci.2018.06.017. Epub 2018 Jun 21. Review.

PMID:
31003610
2.

A Comparative Study of Single-Trait and Multi-Trait Genomic Selection.

Budhlakoti N, Mishra DC, Rai A, Lal SB, Chaturvedi KK, Kumar RR.

J Comput Biol. 2019 Apr 17. doi: 10.1089/cmb.2019.0032. [Epub ahead of print]

PMID:
30994361
3.

Variance of gametic diversity and its application in selection programs.

Santos DJA, Cole JB, Lawlor TJ Jr, VanRaden PM, Tonhati H, Ma L.

J Dairy Sci. 2019 Apr 10. pii: S0022-0302(19)30342-X. doi: 10.3168/jds.2018-15971. [Epub ahead of print]

4.

Phenomics and genomics of finger millet: current status and future prospects.

Sood S, Joshi DC, Chandra AK, Kumar A.

Planta. 2019 Apr 9. doi: 10.1007/s00425-019-03159-6. [Epub ahead of print] Review.

PMID:
30968267
5.

Current situations of animal data recording, dairy improvement infrastructure, human capacity and strategic issues affecting dairy production in sub-Saharan Africa.

Opoola O, Mrode R, Banos G, Ojango J, Banga C, Simm G, Chagunda MGG.

Trop Anim Health Prod. 2019 Apr 3. doi: 10.1007/s11250-019-01871-9. [Epub ahead of print]

PMID:
30945155
6.

AUTALASSO: an automatic adaptive LASSO for genome-wide prediction.

Waldmann P, Ferenčaković M, Mészáros G, Khayatzadeh N, Curik I, Sölkner J.

BMC Bioinformatics. 2019 Apr 2;20(1):167. doi: 10.1186/s12859-019-2743-3.

7.

Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops.

Furbank RT, Jimenez-Berni JA, George-Jaeggli B, Potgieter AB, Deery DM.

New Phytol. 2019 Apr 2. doi: 10.1111/nph.15817. [Epub ahead of print] Review.

PMID:
30937909
8.

The effects of birth rank (single or twin) and dam age on the lifetime productive performance of female dual purpose sheep (Ovis aries) offspring in New Zealand.

Pettigrew EJ, Hickson RE, Morris ST, Lopez-Villalobos N, Pain SJ, Kenyon PR, Blair HT.

PLoS One. 2019 Mar 21;14(3):e0214021. doi: 10.1371/journal.pone.0214021. eCollection 2019.

9.

The effects of training population design on genomic prediction accuracy in wheat.

Edwards SM, Buntjer JB, Jackson R, Bentley AR, Lage J, Byrne E, Burt C, Jack P, Berry S, Flatman E, Poupard B, Smith S, Hayes C, Gaynor RC, Gorjanc G, Howell P, Ober E, Mackay IJ, Hickey JM.

Theor Appl Genet. 2019 Mar 19. doi: 10.1007/s00122-019-03327-y. [Epub ahead of print]

PMID:
30888431
10.

Residual Heterozygosity and Epistatic Interactions Underlie the Complex Genetic Architecture of Yield in Diploid Potato.

Marand AP, Jansky SH, Gage JL, Hamernik AJ, de Leon N, Jiang J.

Genetics. 2019 Mar 18. pii: genetics.302036.2019. doi: 10.1534/genetics.119.302036. [Epub ahead of print]

11.

The European sea bass: a key marine fish model in the wild and in aquaculture.

Vandeputte M, Gagnaire PA, Allal F.

Anim Genet. 2019 Mar 18. doi: 10.1111/age.12779. [Epub ahead of print] Review.

PMID:
30883830
12.

Response Surface Analysis of Genomic Prediction Accuracy Values Using Quality Control Covariates in Soybean.

Jarquín D, Howard R, Graef G, Lorenz A.

Evol Bioinform Online. 2019 Mar 7;15:1176934319831307. doi: 10.1177/1176934319831307. eCollection 2019. Review.

13.

Comparison of gene editing versus conventional breeding to introgress the POLLED allele into the US dairy cattle population.

Mueller ML, Cole JB, Sonstegard TS, Van Eenennaam AL.

J Dairy Sci. 2019 May;102(5):4215-4226. doi: 10.3168/jds.2018-15892. Epub 2019 Mar 7.

14.

Genetic Diversity and Population Structure of a Camelina sativa Spring Panel.

Luo Z, Brock J, Dyer JM, Kutchan T, Schachtman D, Augustin M, Ge Y, Fahlgren N, Abdel-Haleem H.

Front Plant Sci. 2019 Feb 20;10:184. doi: 10.3389/fpls.2019.00184. eCollection 2019.

15.

Comparison of infinitesimal and finite locus models for long-term breeding simulations with direct and maternal effects at the example of honeybees.

Plate M, Bernstein R, Hoppe A, Bienefeld K.

PLoS One. 2019 Mar 6;14(3):e0213270. doi: 10.1371/journal.pone.0213270. eCollection 2019.

16.

Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder's equation.

Cobb JN, Juma RU, Biswas PS, Arbelaez JD, Rutkoski J, Atlin G, Hagen T, Quinn M, Ng EH.

Theor Appl Genet. 2019 Mar;132(3):627-645. doi: 10.1007/s00122-019-03317-0. Epub 2019 Mar 1. Review.

17.

Muscle transcriptome signature and gene regulatory network analysis in two divergent lines of a hilly bovine species Mithun (Bos frontalis).

Mukherjee S, Mukherjee A, Jasrotia RS, Jaiswal S, Iquebal MA, Longkumer I, Mech M, Vüpru K, Khate K, Rajkhowa C, Rai A, Kumar D.

Genomics. 2019 Feb 27. pii: S0888-7543(18)30517-2. doi: 10.1016/j.ygeno.2019.02.004. [Epub ahead of print]

PMID:
30822468
18.

Usefulness Criterion and Post-selection Parental Contributions in Multi-parental Crosses: Application to Polygenic Trait Introgression.

Allier A, Moreau L, Charcosset A, Teyssèdre S, Lehermeier C.

G3 (Bethesda). 2019 Feb 28. pii: g3.400129.2019. doi: 10.1534/g3.119.400129. [Epub ahead of print]

19.

Effects of heterozygosity on performance of purebred and crossbred pigs.

Iversen MW, Nordbø Ø, Gjerlaug-Enger E, Grindflek E, Lopes MS, Meuwissen T.

Genet Sel Evol. 2019 Feb 28;51(1):8. doi: 10.1186/s12711-019-0450-1.

20.

A large-scale pedigree resource of wheat reveals evidence for adaptation and selection by breeders.

Fradgley N, Gardner KA, Cockram J, Elderfield J, Hickey JM, Howell P, Jackson R, Mackay IJ.

PLoS Biol. 2019 Feb 28;17(2):e3000071. doi: 10.1371/journal.pbio.3000071. eCollection 2019 Feb.

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