Registration of the sorghum nested association mapping (NAM) population in RTx430 background

Perumal, Ramasamy; Tesso, Tesfaye; Morris, Geoffrey P.; Jagadish, S. V. Krishna; Little, Christopher R.; Bean, Scott R.; Yu, Jianming; Prasad, P. V. Vara; Tuinstra, Mitchell R.

doi:10.1002/plr2.20110

Cited by 11 publications

(5 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The two populations evaluated herein are only two of the 10 sorghum B‐line NAM populations developed in the program; the results herein indicate that the potential of the remaining eight populations could be evaluated using only a small portion of the entire population. This approach could also be used to evaluate the sorghum R‐line NAM populations (Perumal et al., 2021) and other populations with similar population structure.…”

Section: Resultsmentioning

confidence: 99%

Use of genomic prediction to screen sorghum B‐lines in hybrid testcrosses

et al. 2023

View full text Add to dashboard Cite

Use of trifluoromethanesulfonamide (TFMSA), a male gametocide, increases the opportunities to identify promising B‐lines because large quantities of F1 seed can be generated prior to the laborious task of B‐line sterilization. Combining TFMSA technology with genomic selection could efficiently evaluate sorghum B‐lines in hybrid combination to maximize the rates of genetic gain of the crop. This study used two recombinant inbred B‐line populations, consisting of 217 lines, which were testcrossed to two R‐lines to produce 434 hybrids. Each population of testcross hybrids were evaluated across five environments. Population‐based genomic prediction models were assessed across environments using three different cross‐validation (CV) schemes, each with 70% training and 30% validation sets. The validation schemes were as follows: CV1—hybrids chosen randomly for validation; CV2—B‐lines were randomly chosen, and each chosen B‐line had one of the two corresponding testcross hybrids randomly chosen for the validation; and CV3—B‐lines were randomly chosen, and each chosen B‐line had both corresponding testcross hybrids chosen for the validation. CV1 and CV2 presented the highest prediction accuracies; nonetheless, the prediction accuracies of the CV schemes were not statistically different in many environments. We determined that combining the B‐line populations could improve prediction accuracies, and the genomic prediction models were able to effectively rank the poorest 70% of hybrids even when genomic prediction accuracies themselves were low. Results indicate that combining genomic prediction models and TFMSA technology can effectively aid breeders in predicting B‐line hybrid performance in early generations prior to the laborious task of generating A/B‐line pairs.

show abstract

Section: Resultsmentioning

confidence: 99%

Use of genomic prediction to screen sorghum B‐lines in hybrid testcrosses

et al. 2023

View full text Add to dashboard Cite

show abstract

“…To the best of our knowledge, only two true NAM sorghum populations have been developed. One by Bouchet et al ( 2017 ), while Perumal ( 2021 ) has recently registered the sorghum NAM population in RTx430 background with KS-RTx430NAM. With these developments, recombinant inbred lines should be exploited to identify QTL markers containing salt tolerance and yield-related traits.…”

Section: Incorporation Of Sorghum Into Modern Genetic Breeding Strate...mentioning

confidence: 99%

Exploring the correlation between salt tolerance and yield: research advances and perspectives for salt-tolerant forage sorghum selection and genetic improvement

Amombo

Ashilenje

Hirich

et al. 2022

Planta

View full text Add to dashboard Cite

Main conclusion Some salt stress response mechanisms can translate into sorghum forage yield and thus act as targets for genetic improvement. Abstract Sorghum is a drought-tolerant cereal that is widely grown in the vast Africa’s arid and semi-arid areas. Apart from drought, salinity is a major abiotic factor that, in addition to natural causes, has been exacerbated by increased poor anthropological activities. The importance of sorghum as a forage crop in saline areas has yet to be fully realized. Despite intraspecific variation in salt tolerance, sorghum is generally moderately salt-tolerant, and its productivity in saline soils can be remarkably limited. This is due to the difficulty of replicating optimal field saline conditions due to the great heterogeneity of salt distribution in the soil. As a promising fodder crop for saline areas, classic phenotype-based selection methods can be integrated with modern -omics in breeding programs to simultaneously address salt tolerance and production. To enable future manipulation, selection, and genetic improvement of sorghum with high yield and salt tolerance, here, we explore the potential positive correlations between the reliable indices of sorghum performance under salt stress at the phenotypic and genotypic level. We then explore the potential role of modern selection and genetic improvement programs in incorporating these linked salt tolerance and yield traits and propose a mechanism for future studies.

show abstract

“…This allows for the identi cation of gene variants with the greatest potential for improving complex traits such as yield and quality. NAM populations are especially useful when paired with high-throughput phenotyping and screening techniques (Perumal et al 2021). For instance, we previously identi ed a QTL for seminal root angle (qSRA-6A) with major effects under controlled conditions (Alahmad et al 2019) using the high-throughput 'clear pot' method, which is suitable for screening small grains such as winter cereals (Richard et al 2015;Robinson et al 2016;Alahmad et al 2018).…”

Section: Durum Nam Population Development and Diversitymentioning

confidence: 99%

A multi-reference parent nested-association mapping population to dissect the genetics of quantitative traits in durum wheat

Alahmad

Kang²,

Dinglasan³

et al. 2022

Genet Resour Crop Evol

View full text Add to dashboard Cite

Durum wheat (Triticum turgidum L.) breeding programs face many challenges surrounding the development of stable varieties with high quality and yield. Therefore, researchers and breeders are focused on deciphering the genetic architecture of biotic and abiotic traits with the aim of pyramiding desirable traits. These efforts require access to diverse genetic resources, including wild relatives, germplasm collections, and mapping populations. Advances in accelerated generation technologies have enabled the rapid development of mapping populations with signi cant genetic diversity. Here, we describe the development of a durum Nested Association Mapping (dNAM) population, which represents a valuable genetic resource for mapping the effects of different alleles on trait performance. We created this population to understand the quantitative nature of drought-adaptive traits in durum wheat. We developed 920 F 6 lines in only 18 months using speed breeding technology, including the F 4 generation in the eld. Large variation in above-and belowground traits was observed, which could be harnessed using genetic mapping and breeding approaches. We genotyped the population using 13,393 DArTseq markers. Quality control resulted in 6,785 high-quality polymorphic markers used for structure analysis, linkage disequilibrium decay, and marker-trait association analyses. To demonstrate the effectiveness of dNAM as a resource for elucidating the genetic control of quantitative traits, we took a genomewide mapping approach using the FarmCPU method for plant height and days to owering. These results highlight the power of using dNAM as a tool to dissect the genetics of durum wheat traits, supporting the development of varieties with improved adaptation and yield.

show abstract

Registration of the sorghum nested association mapping (NAM) population in RTx430 background

Cited by 11 publications

References 30 publications

Use of genomic prediction to screen sorghum B‐lines in hybrid testcrosses

Use of genomic prediction to screen sorghum B‐lines in hybrid testcrosses

Exploring the correlation between salt tolerance and yield: research advances and perspectives for salt-tolerant forage sorghum selection and genetic improvement

A multi-reference parent nested-association mapping population to dissect the genetics of quantitative traits in durum wheat

Contact Info

Product

Resources

About