Registration of Two Germplasm Lines of Upland Cotton with High Yield Potential and Fiber Quality

Crop Science ◽  
1991 ◽  
Vol 31 (3) ◽  
pp. 853-853 ◽  
Author(s):  
C. C. Green ◽  
T. W. Culp ◽  
B. U. Kittrell
Keyword(s):  
Upland Cotton ◽  
Fiber Quality ◽  
Yield Potential ◽  
High Yield ◽  
High Yield Potential

scholarly journals QTL Mapping of Agronomic and Economic Traits for Four F2 Populations of Upland Cotton

2020 ◽  
Author(s):  
Hongge Li ◽  
Zhaoe Pan ◽  
Shoupu He ◽  
Yinhua Jia ◽  
Xiaoli Geng ◽  
...  
Keyword(s):  
Complex Traits ◽  
Upland Cotton ◽  
Genetic Basis ◽  
Fiber Quality ◽  
Genetic Maps ◽  
Yield Potential ◽  
High Yield ◽  
World Cotton ◽  
Economic Traits ◽  
High Yield Potential

Abstract Background: Upland cotton (Gossypium hirsutum) accounts for more than 90% of the annual world cotton output because of its high yield potential. However, yield and fiber quality traits often show negative correlations. We constructed four F2 populations of unland cotton, using two normal lines (4133B and SGK9708) with high yield potential but moderate fiber quality and two introgression lines (Suyuan04-3 and J02-247) with superior fiber quality, and used them to investigate the genetic basis underlying complex traits such as yield and fiber quality in upland cotton. We also phenotyped eight agronomic and economic traits and mapped quantitative trait loci (QTLs). Results: Extensive phenotype variations and transgressive segregation were found across the segregation populations. We constructed four genetic maps of 585.97 cM, 752.45 cM, 752.45 cM and 1 163.66 cM, one for each of the four F2 populations.. Fifty QTLs were identified across the four populations (7 for plant height, 27 for fiber quality and 16 for yield). The same QTLs were identified in different populations, including qBW4 and qBW2, which were linked to a common simple sequence repeat (SSR) marker, NAU1255. A QTL cluster containing eight QTLs for six different traits was characterized on linkage group 9 of the 4133B×Suyuan04-3 population. Conclusions: These findings will provide insights into the genetic basis of simultaneous improvement of yield and fiber quality in upland cotton breeding.

scholarly journals QTL mapping of agronomic and economic traits for four F2 populations of upland cotton

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Hongge LI ◽  
Zhaoe PAN ◽  
Shoupu HE ◽  
Yinhua JIA ◽  
Xiaoli GENG ◽  
...  
Keyword(s):  
Complex Traits ◽  
Upland Cotton ◽  
Genetic Basis ◽  
Fiber Quality ◽  
Genetic Maps ◽  
Yield Potential ◽  
High Yield ◽  
World Cotton ◽  
Economic Traits ◽  
High Yield Potential

Abstract Background Upland cotton (Gossypium hirsutum) accounts for more than 90% of the annual world cotton output because of its high yield potential. However, yield and fiber quality traits often show negative correlations. We constructed four F2 populations of upland cotton, using two normal lines (4133B and SGK9708) with high yield potential but moderate fiber quality and two introgression lines (Suyuan04–3 and J02–247) with superior fiber quality, and used them to investigate the genetic basis underlying complex traits such as yield and fiber quality in upland cotton. We also phenotyped eight agronomic and economic traits and mapped quantitative trait loci (QTLs). Results Extensive phenotype variations and transgressive segregation were found across the segregation populations. We constructed four genetic maps of 585.97 centiMorgan (cM), 752.45 cM, 752.45 cM, and 1 163.66 cM, one for each of the four F2 populations. Fifty QTLs were identified across the four populations (7 for plant height, 27 for fiber quality and 16 for yield). The same QTLs were identified in different populations, including qBW4 and qBW2, which were linked to a common simple sequence repeat (SSR) marker, NAU1255. A QTL cluster containing eight QTLs for six different traits was characterized on linkage group 9 of the 4133B × Suyuan04–3 population. Conclusions These findings will provide insights into the genetic basis of simultaneous improvement of yield and fiber quality in upland cotton breeding.

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 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 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

OAC Bruton soybean

2018 ◽  
Vol 98 (6) ◽  
pp. 1389-1391
Author(s):  
S. Torabi ◽  
B.T. Stirling ◽  
J. Kobler ◽  
M. Eskandari
Keyword(s):  
Soybean Cyst Nematode ◽  
Protein Concentration ◽  
Seed Protein ◽  
Cyst Nematode ◽  
Yield Potential ◽  
High Yield ◽  
Seed Protein Concentration ◽  
Glycine Max L ◽  
Group 1 ◽  
High Yield Potential

OAC Bruton is an indeterminate large-seeded food-grade soybean [Glycine max (L.) Merr.] cultivar with high yield potential, high seed protein concentration, and resistance to soybean cyst nematode (SCN). OAC Bruton is developed and recommended for soybean growing areas in southwestern Ontario with 2950 or greater crop heat units. OAC Bruton is classified as a maturity group 1 (MG1) cultivar with a relative maturity of 1.8.

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