scholarly journals Genomic Prediction and Indirect Selection for Grain Yield in US Pacific Northwest Winter Wheat Using Spectral Reflectance Indices from High-Throughput Phenotyping

2019 ◽  
Vol 21 (1) ◽  
pp. 165 ◽  
Author(s):  
Dennis N. Lozada ◽  
Jayfred V. Godoy ◽  
Brian P. Ward ◽  
Arron H. Carter
Keyword(s):  
Winter Wheat ◽  
Pacific Northwest ◽  
Prediction Accuracy ◽  
Indirect Selection ◽  
Yield Potential ◽  
High Yield ◽  
High Throughput Phenotyping ◽  
Reflectance Indices ◽  
Selection Of ◽  
High Yield Potential

Secondary traits from high-throughput phenotyping could be used to select for complex target traits to accelerate plant breeding and increase genetic gains. This study aimed to evaluate the potential of using spectral reflectance indices (SRI) for indirect selection of winter-wheat lines with high yield potential and to assess the effects of including secondary traits on the prediction accuracy for yield. A total of five SRIs were measured in a diversity panel, and F5 and doubled haploid wheat breeding populations planted between 2015 and 2018 in Lind and Pullman, WA. The winter-wheat panels were genotyped with 11,089 genotyping-by-sequencing derived markers. Spectral traits showed moderate to high phenotypic and genetic correlations, indicating their potential for indirect selection of lines with high yield potential. Inclusion of correlated spectral traits in genomic prediction models resulted in significant (p < 0.001) improvement in prediction accuracy for yield. Relatedness between training and test populations and heritability were among the principal factors affecting accuracy. Our results demonstrate the potential of using spectral indices as proxy measurements for selecting lines with increased yield potential and for improving prediction accuracy to increase genetic gains for complex traits in US Pacific Northwest winter wheat.

scholarly journals Use of spectral reflectance for indirect selection of yield potential and stability in Pacific Northwest winter wheat

2016 ◽  
Vol 196 ◽  
pp. 199-206 ◽  
Author(s):  
Shiferaw A. Gizaw ◽  
Kimberly Garland-Campbell ◽  
Arron H. Carter
Keyword(s):  
Winter Wheat ◽  
Pacific Northwest ◽  
Spectral Reflectance ◽  
Indirect Selection ◽  
Yield Potential ◽  
Selection Of

scholarly journals Yield component variation in winter wheat grown under drought stress

2000 ◽  
Vol 80 (4) ◽  
pp. 739-745 ◽  
Author(s):  
B. L. Duggan ◽  
D. R. Domitruk ◽  
D. B. Fowler
Keyword(s):  
Drought Stress ◽  
Winter Wheat ◽  
Grain Yield ◽  
Triticum Aestivum L ◽  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Crop Water ◽  
Kernel Number ◽  
High Yield Potential

Crops produced in the semiarid environment of western Canada are subjected to variable and unpredictable periods of drought stress. The objective of this study was to determine the inter-relationships among yield components and grain yield of winter wheat (Triticum aestivum L) so that guidelines could be established for the production of cultivars with high yield potential and stability. Five hard red winter wheat genotypes were grown in 15 field trials conducted throughout Saskatchewan from 1989–1991. Although this study included genotypes with widely different yield potential and yield component arrangements, only small differences in grain yield occurred within trials under dryland conditions. High kernel number, through greater tillering, was shown to be an adaptation to low-stress conditions. The ability of winter wheat to produce large numbers of tillers was evident in the spring in all trials; however, this early season potential was not maintained due to extensive tiller die-back. Tiller die-back often meant that high yield potential genotypes became sink limiting with reduced ability to respond to subsequent improvements in growing season weather conditions. As tiller number increased under more favourable crop water conditions genetic limits in kernels spike−1 became more identified with yield potential. It is likely then, that tillering capacity per se is less important in winter wheat than the development of vigorous tillers with numerous large kernels spike−1. For example, the highest yielding genotype under dryland conditions was a breeding line, S86-808, which was able to maintain a greater sink capacity as a result of a higher number of larger kernels spike−1. It appears that without yield component compensation, a cultivar can be unresponsive to improved crop water conditions (stable) or it can have a high mean yield, but it cannot possess both characteristics. Key words: Triticum aestivum L., wheat, drought stress, kernel weight, kernel number, spike density, grain yield

The impact of variation in grain number and individual grain weight on winter wheat yield in the high yield potential environment of Ireland

2017 ◽  
Vol 87 ◽  
pp. 40-49 ◽  
Author(s):  
Joseph P. Lynch ◽  
Deirdre Doyle ◽  
Shauna McAuley ◽  
Fiona McHardy ◽  
Quentin Danneels ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Grain Weight ◽  
Yield Potential ◽  
High Yield ◽  
Grain Number ◽  
Winter Wheat Yield ◽  
The Impact ◽  
High Yield Potential

Genotype–environment interaction of no-till winter wheat in Western Canada

2001 ◽  
Vol 81 (1) ◽  
pp. 7-16 ◽  
Author(s):  
D. R. Domitruk ◽  
B. L. Duggan ◽  
D. B. Fowler
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Yield Potential ◽  
High Yield ◽  
Western Canada ◽  
Crop Water ◽  
Ge Interaction ◽  
Wide Range ◽  
Stress Environments ◽  
High Yield Potential

Differences among cultivars in their response to changes in crop water availability are reflected in genotype–environment (GE) interactions for grain yield. With the recent expansion of the winter wheat production area in western Canada, it is important that plant breeders and agronomists have an understanding of the significance of GE interactions as they relate to regional adaptation of genotypes. Consequently, the objective of this study was to determine the phenotypic stability of recent high-yielding winter wheat genotypes grown under drought and low stress conditions on the Canadian prairies and to assess the effect that crop water status has on GE interactions. Eighteen field trials were conducted throughout Saskatchewan over a 3-yr period. Five hard red winter wheat genotypes were selected for evaluation in these trials on the basis of unique characteristics identified in earlier studies. Natural variation in weather among locations and years and irrigation produced a wide range in the timing and intensity of drought stress. The high yield potential of recent winter wheat selections was confirmed. A nonsignificant genotype-location effect meant that geographic subregions requiring specific adaptive traits could not be identified. In contrast, significant effects of years and genotype-year and location-year interactions indicated that annual differences in weather had a greater influence on relative genotype performance than weather differences among locations. Significant within-site genotypic variation for grain yield was observed only at high rainfall and irrigated sites, and the GE interaction was larger than the genotypic variance component when there were wide differences in environmental conditions. The GE interaction effect was not significant when only dryland sites were considered. A poor association between yield rank at the highly productive and drought-stressed sites was attributed to genotypic differences in yield potential and the effect of drought on the expression of yield potential. Joint regression, pairwise correlated response, stability, and convergence analyses were conducted in an effort to better interpret the practical importance of the GE interactions. A tendency for the genotype regression lines to converge below the range of grain yields expected in the region indicated that genotypes with the highest mean yield were widely adapted and that winter wheat breeders should select for high yield potential in low stress environments. However, the expression of grain yield potential was reduced enough to suggest that winter wheat yields in western Canada are likely to benefit from this “high” yield potential only under moderate and low stress conditions. Therefore, because there is a wide diversity of crop water conditions in this region, trial locations should also include targeted high stress environments to identify genotypes with high performance over a wide range of environments. Key words: Triticum aestivum L., drought stress, stability, regression analyses, grain yield

FloRunTM ‘331’ Peanut Variety

EDIS ◽  
2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Barry L. Tillman
Keyword(s):  
Seed Size ◽  
Growth Habit ◽  
Yield Potential ◽  
High Yield ◽  
University Of Florida ◽  
High Oleic ◽  
Central Stem ◽  
Research And Education ◽  
The University ◽  
High Yield Potential

FloRunTM ‘331’ peanut variety was developed by the University of Florida, Institute of Food and Agricultural Sciences, North Florida Research and Education Center near Marianna, Florida.  It was released in 2016 because it combines high yield potential with excellent disease tolerance. FloRunTM ‘331’ has a typical runner growth habit with a semi-prominent central stem and medium green foliage.  It has medium runner seed size with high oleic oil chemistry.

scholarly journals Production Assessment and Genome Comparison Revealed High Yield Potential and Novel Specific Alleles Associated with Fertility and Yield in Neo-Tetraploid Rice

Rice ◽  
2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Hang Yu ◽  
Muhammad Qasim Shahid ◽  
Qihang Li ◽  
Yudi Li ◽  
Cong Li ◽  
...  
Keyword(s):  
Yield Potential ◽  
High Yield ◽  
Genome Comparison ◽  
High Yield Potential

scholarly journals Early generation selection strategy for yield and yield components in white oat

2005 ◽  
Vol 62 (4) ◽  
pp. 357-365 ◽  
Author(s):  
Giovani Benin ◽  
Fernando Irajá Félix de Carvalho ◽  
Antônio Costa de Oliveira ◽  
Claudir Lorencetti ◽  
Igor Pires Valério ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Selection ◽  
Grain Weight ◽  
Yield Potential ◽  
High Yield ◽  
Direct Selection ◽  
Selection Strategy ◽  
Breeding Method ◽  
Growing Seasons ◽  
Selection For

Several studies have searched for higher efficiency on plant selection in generations bearing high frequency of heterozygotes. This work aims to compare the response of direct selection for grain yield, indirect selection through average grain weight and combined selection for higher yield potential and average grain weight of oat plants (Avena sativa L.), using the honeycomb breeding method. These strategies were applied in the growing seasons of 2001 and 2002 in F3 and F4 populations, respectively, in the crosses UPF 18 CTC 5, OR 2 <FONT FACE=Symbol>´</FONT> UPF 7 and OR 2 <FONT FACE=Symbol>´</FONT> UPF 18. The ten best genetic combinations obtained for each cross and selection strategy were evaluated in greenhouse yield trials. Selection of plants with higher yield and average grain weight might be performed on early generations with high levels of heterozygosis. The direct selection for grain yield and indirect selection for average grain weight enabled to increase the average of characters under selection. However, genotypes obtained through direct selection presented lower average grain weight and those obtained through the indirect selection presented lower yield potential. Selection strategies must be run simultaneously to combine in only one genotype high yield potential and large grain weight, enabling maximum genetic gain for both characters.

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