combining abilities
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2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Victoriano V. Casco ◽  
Rosemarie T. Tapic ◽  
Jerwin R. Undan ◽  
Anna Ma. Lourdes S. Latonio ◽  
Roel R. Suralta ◽  
...  

Abstract Background A combining ability analysis is a useful tool of plant breeders in screening and identifying promising parental lines with high potential for developing competitive rice hybrids. Also, one important factor that strongly determines the suitability of commercial utilization of hybrid rice parental lines is their extent of seed producibility. Methods In this study, the combining ability, floral biology and seed producibility of cytoplasmic male sterile (CMS) lines were investigated to identify good combiners with good seed production potential. The Line × Tester analysis was used to determine the general combining abilities (GCA) of hybrid rice parental lines, and Specific Combining Abilities (SCA) of the different hybrid combinations. A correlation analysis was also done to determine floral traits that influence the outcrossing rate of the CMS lines. There were 4 CMS lines, 6 restorer lines, 24 hybrid combinations and 1 check variety in a randomized complete block Design (RCBD) with 3 replicates. Results Results indicated that CMS lines IR79128B and IR102758B were good combiners and the most promising restorer lines were D2031-7-1-2R, Hanareumbyeo 2, and XTR036-54-10R. Based on specific combining ability test, the most promising combination was entry 10 (IR58025A/D2013-7-1-2R). It has the highest yield of 7496 kg ha−1, a high positive SCA score of 570.54, and highest standard heterosis of 12.9%. Based on floral traits, IR79128B was the most promising with a high positive GCA score of 186.93, panicle exertion rate of 74.8%, and a high outcrossing rate of 51%. There was a significant positive association between outcrossing rate, duration of floral opening, panicle exertion rate, and general combining ability. Conclusion The floral traits found to be significantly associated with outcrossing rate are useful selection criteria not only for identifying economically usable CMS lines but also for developing new and promising parental lines and hybrids. These CMS lines do not only give heterotic combinations but are also commercially producible, the two most important factors to the success of any hybrid rice breeding program.


Crop Science ◽  
2021 ◽  
Author(s):  
Jales Fonseca ◽  
Ramasamy Perumal ◽  
Patricia E. Klein ◽  
Robert R. Klein ◽  
William L. Rooney

2021 ◽  
Author(s):  
Jales M. O. Fonseca ◽  
Patricia E. Klein ◽  
Jose Crossa ◽  
Angela Pacheco ◽  
Paulino Perez‐Rodriguez ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Marlee R. Labroo ◽  
Jauhar Ali ◽  
M. Umair Aslam ◽  
Erik Jon de Asis ◽  
Madonna A. dela Paz ◽  
...  

Hybrid rice varieties can outyield the best inbred varieties by 15 – 30% with appropriate management. However, hybrid rice requires more inputs and management than inbred rice to realize a yield advantage in high-yielding environments. The development of stress-tolerant hybrid rice with lowered input requirements could increase hybrid rice yield relative to production costs. We used genomic prediction to evaluate the combining abilities of 564 stress-tolerant lines used to develop Green Super Rice with 13 male sterile lines of the International Rice Research Institute for yield-related traits. We also evaluated the performance of their F1 hybrids. We identified male sterile lines with good combining ability as well as F1 hybrids with potential further use in product development. For yield per plant, accuracies of genomic predictions of hybrid genetic values ranged from 0.490 to 0.822 in cross-validation if neither parent or up to both parents were included in the training set, and both general and specific combining abilities were modeled. The accuracy of phenotypic selection for hybrid yield per plant was 0.682. The accuracy of genomic predictions of male GCA for yield per plant was 0.241, while the accuracy of phenotypic selection was 0.562. At the observed accuracies, genomic prediction of hybrid genetic value could allow improved identification of high-performing single crosses. In a reciprocal recurrent genomic selection program with an accelerated breeding cycle, observed male GCA genomic prediction accuracies would lead to similar rates of genetic gain as phenotypic selection. It is likely that prediction accuracies of male GCA could be improved further by targeted expansion of the training set. Additionally, we tested the correlation of parental genetic distance with mid-parent heterosis in the phenotyped hybrids. We found the average mid-parent heterosis for yield per plant to be consistent with existing literature values at 32.0%. In the overall population of study, parental genetic distance was significantly negatively correlated with mid-parent heterosis for yield per plant (r = −0.131) and potential yield (r = −0.092), but within female families the correlations were non-significant and near zero. As such, positive parental genetic distance was not reliably associated with positive mid-parent heterosis.


2021 ◽  
Author(s):  
Ao Zhang ◽  
Paulino Pérez-Rodríguez ◽  
Felix San Vicente ◽  
Natalia Palacios-Rojas ◽  
Thanda Dhliwayo ◽  
...  

2021 ◽  
Author(s):  
S.А. Guseva ◽  
◽  
D.D. Babushkin ◽  
◽  

We analyzed a calculation of combining ability (CA) of 21 sunflower genotypes of Russian and foreign breeding by seed yield and head square, determined in a scheme of top-cross. Also there is considered a relation of mean squires of variability of common and specific combining abilities with a purpose to determine prevailing effects of gens. We revealed the sunflower variety samples with high meanings of effects of common combining ability and dispersion of specific combining ability as well as hybrid combinations F1 with high effects of specific combining ability.


Revista CERES ◽  
2021 ◽  
Vol 68 (1) ◽  
pp. 61-70
Author(s):  
Rafael Nunes de Almeida ◽  
Marcelo Vivas ◽  
Divino Rosa dos Santos Junior ◽  
Júlio Cesar Gradice Saluci ◽  
Mayara Cazadini Carlos ◽  
...  
Keyword(s):  
Ear Rot ◽  

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