scholarly journals Establishment of an extensive breeding population of a marine pulmonate snail far poleward of its previously documented range

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Susanne Fork ◽  
Bruno Pernet ◽  
Kerstin Wasson
Keyword(s):  
Breeding Population ◽  
Pulmonate Snail ◽  
Extensive Breeding

scholarly journals Increasing selection gain and accuracy of harvest prediction models in Jatropha through genome-wide selection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adriano dos Santos ◽  
Erina Vitório Rodrigues ◽  
Bruno Galvêas Laviola ◽  
Larissa Pereira Ribeiro Teodoro ◽  
Paulo Eduardo Teodoro ◽  
...  
Keyword(s):  
Prediction Models ◽  
Block Design ◽  
Phenotypic Selection ◽  
Breeding Population ◽  
Breeding Cycle ◽  
Selection Cycle ◽  
Genome Wide ◽  
Random Block ◽  
Random Block Design ◽  
Number Of Individuals

AbstractGenome-wide selection (GWS) has been becoming an essential tool in the genetic breeding of long-life species, as it increases the gain per time unit. This study had a hypothesis that GWS is a tool that can decrease the breeding cycle in Jatropha. Our objective was to compare GWS with phenotypic selection in terms of accuracy and efficiency over three harvests. Models were developed throughout the harvests to evaluate their applicability in predicting genetic values in later harvests. For this purpose, 386 individuals of the breeding population obtained from crossings between 42 parents were evaluated. The population was evaluated in random block design, with six replicates over three harvests. The genetic effects of markers were predicted in the population using 811 SNP's markers with call rate = 95% and minor allele frequency (MAF) > 4%. GWS enables gains of 108 to 346% over the phenotypic selection, with a 50% reduction in the selection cycle. This technique has potential for the Jatropha breeding since it allows the accurate obtaining of GEBV and higher efficiency compared to the phenotypic selection by reducing the time necessary to complete the selection cycle. In order to apply GWS in the first harvests, a large number of individuals in the breeding population are needed. In the case of few individuals in the population, it is recommended to perform a larger number of harvests.

scholarly journals Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits

2021 ◽  
Author(s):  
Pallavi Sinha ◽  
Vikas K. Singh ◽  
Abhishek Bohra ◽  
Arvind Kumar ◽  
Jochen C. Reif ◽  
...  
Keyword(s):  
Statistical Methods ◽  
Genetic Gain ◽  
Crop Improvement ◽  
Breeding Population ◽  
Breeding Cycle ◽  
Climate Resilience ◽  
Heritability Estimation ◽  
Improvement Programs ◽  
Statistical Designs ◽  
Novel Alleles

Abstract Key message Integrating genomics technologies and breeding methods to tweak core parameters of the breeder’s equation could accelerate delivery of climate-resilient and nutrient rich crops for future food security. Abstract Accelerating genetic gain in crop improvement programs with respect to climate resilience and nutrition traits, and the realization of the improved gain in farmers’ fields require integration of several approaches. This article focuses on innovative approaches to address core components of the breeder’s equation. A prerequisite to enhancing genetic variance (σ2g) is the identification or creation of favorable alleles/haplotypes and their deployment for improving key traits. Novel alleles for new and existing target traits need to be accessed and added to the breeding population while maintaining genetic diversity. Selection intensity (i) in the breeding program can be improved by testing a larger population size, enabled by the statistical designs with minimal replications and high-throughput phenotyping. Selection priorities and criteria to select appropriate portion of the population too assume an important role. The most important component of breeder′s equation is heritability (h2). Heritability estimates depend on several factors including the size and the type of population and the statistical methods. The present article starts with a brief discussion on the potential ways to enhance σ2g in the population. We highlight statistical methods and experimental designs that could improve trait heritability estimation. We also offer a perspective on reducing the breeding cycle time (t), which could be achieved through the selection of appropriate parents, optimizing the breeding scheme, rapid fixation of target alleles, and combining speed breeding with breeding programs to optimize trials for release. Finally, we summarize knowledge from multiple disciplines for enhancing genetic gains for climate resilience and nutritional traits.

scholarly journals Landscape-scale Spatial Distribution of the Lanner Falcon (Falco biarmicus feldeggii) Breeding Population in Italy

AMBIO ◽  
2008 ◽  
Vol 37 (6) ◽  
pp. 440-444 ◽  
Author(s):  
Alessandro Andreotti ◽  
Giovanni Leonardi ◽  
Maurizio Sarà ◽  
Massimo Brunelli ◽  
Lorenzo De Lisio ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Breeding Population ◽  
Landscape Scale

scholarly journals Identification and Fine Mapping of a Stably Expressed QTL for Cold Tolerance at the Booting Stage Using an Interconnected Breeding Population in Rice

PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0145704 ◽  
Author(s):  
Yajun Zhu ◽  
Kai Chen ◽  
Xuefei Mi ◽  
Tianxiao Chen ◽  
Jauhar Ali ◽  
...  
Keyword(s):  
Cold Tolerance ◽  
Fine Mapping ◽  
Breeding Population ◽  
Booting Stage

Association mapping in an elite maize breeding population

2011 ◽  
Vol 123 (5) ◽  
pp. 847-858 ◽  
Author(s):  
Wenxin Liu ◽  
Manje Gowda ◽  
Jana Steinhoff ◽  
Hans Peter Maurer ◽  
Tobias Würschum ◽  
...  
Keyword(s):  
Association Mapping ◽  
Breeding Population ◽  
Maize Breeding

Identification of RAPD markers linked to common bacterial blight resistance genes in Phaseolus vulgaris L.

Genome ◽  
1997 ◽  
Vol 40 (4) ◽  
pp. 544-551 ◽  
Author(s):  
Yonghe Bai ◽  
T. E. Michaels ◽  
K. P. Pauls
Keyword(s):  
Phaseolus Vulgaris ◽  
Linkage Group ◽  
Bacterial Blight ◽  
Rapd Markers ◽  
Interspecific Cross ◽  
Breeding Population ◽  
Common Bacterial Blight ◽  
Linkage Groups ◽  
Phaseolus Vulgaris L ◽  
Total Contribution

Seven hundred and fifty-six random primers were screened with bulks of genomic DNA from common bacterial blight (CBB) resistant and susceptible bean plants. The plants were from a breeding population derived from an interspecific cross between Phaseolus acutifolius and Phaseolus vulgaris. Four RAPD markers, named R7313, RE416, RE49, and R4865, were found to be significantly associated with CBB resistance in this population. Forty-nine molecular markers segregating in the population were clustered into 8 linkage groups by a MAPMAKER linkage analysis. The largest linkage group was 140 cM long and contained 25 marker loci, including marker R4865. Markers R7313, RE416, and RE49 were clustered on another linkage group. A regression analysis indicated that the markers in these two groups together accounted for 81% of the variation in CBB resistance in the population. The addition of another marker, M56810, which was not individually associated with CBB resistance, increased the total contribution to the trait to 87%.Key words: Phaseolus vulgaris L., common bacterial blight (CBB), polymerase chain reaction (PCR), RAPD markers, linkage groups.

Sign in / Sign up

Export Citation Format

Share Document