Seeking Crops with Balanced Parts for the Ideal Whole

Abbai, Ragavendran; Singh, Vikas K.; Snowdon, Rod J.; Kumar, Arvind; Schnurbusch, Thorsten

doi:10.1016/j.tplants.2020.08.011

Cited by 21 publications

(19 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The underlying genes still require identification but may be harnessed for modulating architectural plasticity and adapting crops to new climatic conditions (see “Outstanding Questions”). Fine-tuning architectural plasticity could yield novel crop genotypes that are adapted to specific target environments and display optimized community performance ( Weiner, 2019 ; Abbai et al, 2020 ).…”

Section: Future Perspectives: Tuning Meristem Plasticity For Climate-resilient Agriculture?mentioning

confidence: 99%

Meristem transitions and plant architecture—learning from domestication for crop breeding

2021

View full text Add to dashboard Cite

show abstract

Section: Future Perspectives: Tuning Meristem Plasticity For Climate-resilient Agriculture?mentioning

confidence: 99%

Meristem transitions and plant architecture—learning from domestication for crop breeding

2021

View full text Add to dashboard Cite

show abstract

“…In our study, we report two MTAs in proximity to the candidate regions mentioned above of chromosome 2 ( Os02g0594100 ) and chromosome 8 ( Os08g0335500 ) with not much significant haplotype diversity but significant variations in the trait value was observed among the accessions 57 . We also identified a locus on chromosome 6 ( Os06g11100 ) near (1 Mb away) to the position of starch synthase IIa ( SSIIa : Os06g0229800, 6,748,398–6,753,302) gene, significantly affecting GC, degree of starch crystallinity by increasing the fractional amount of A chains in amylopectin 8 , 44 , 58 . All the identified MTAs and their corresponding candidate loci exhibit a significant number of variable haplotypes for the traits studied.…”

Section: Discussionmentioning

confidence: 98%

“…In any crop species, genetic diversity plays important role in breeding elite varieties. Identification of favorable alleles 8 and its superior haplotype of the various genes associated with traits linking to cooking and eating quality of rice are pre-requisite of breeding to develop healthier rice. Nowadays, with the improvement of high-throughput sequencing technologies with reduced cost makes genome wide association studies (GWAS) as on of the prominent techniques to identify marker-trait associations (MTAs).…”

Section: Introductionmentioning

confidence: 99%

Superior haplotypes towards development of low glycemic index rice with preferred grain and cooking quality

Selvaraj

Singh

et al. 2021

Sci Rep

Self Cite

View full text Add to dashboard Cite

Increasing trends in the occurrence of diabetes underline the need to develop low glycemic index (GI) rice with preferred grain quality. In the current study, a diverse set of 3 K sub-panel of rice consisting of 150 accessions was evaluated for resistant starch and predicted glycemic index, including nine other quality traits under transplanted situation. Significant variations were noticed among the accessions for the traits evaluated. Trait associations had shown that amylose content possess significant positive and negative association with resistant starch and predicted glycemic index. Genome-wide association studies with 500 K SNPs based on MLM model resulted in a total of 41 marker-trait associations (MTAs), which were further confirmed and validated with mrMLM multi-locus model. We have also determined the allelic effect of identified MTAs for 11 targeted traits and found favorable SNPs for 8 traits. A total of 11 genes were selected for haplo-pheno analysis to identify the superior haplotypes for the target traits where haplotypes ranges from 2 (Os10g0469000-GC) to 15 (Os06g18720-AC). Superior haplotypes for RS and PGI, the candidate gene Os06g11100 (H4-3.28% for high RS) and Os08g12590 (H13-62.52 as intermediate PGI). The identified superior donors possessing superior haplotype combinations may be utilized in Haplotype-based breeding to developing next-generation tailor-made high quality healthier rice varieties suiting consumer preference and market demand.

show abstract

“…However, the increase in productivity decreases plant fitness and adaptability, such as, a decrease in plant growth and the formation of vertical root growth (Weiner, 2019). Moreover, the desire to bring the gliadin profile of wheat closer to the 'ideal' spectrum may reduce the 'selfishness' of the plant, i.e., some properties of individual plants may deteriorate, such as, adaptability to external stressors (Abbai et al, 2020), which is a negative side in plant breeding. These negative phenomena can be avoided by taking into account the trade-offs between plant traits, such as, grain yield and quality (Pleijel and Uddling, 2012).…”

Section: Discussionmentioning

confidence: 99%

Allelic Composition of Gliadin-Coding Loci as a 'Portrait' in Spring Soft Wheat Selections of Russian and Kazakh Origins

UTEBAYEV¹,

DOLINNY²,

DASHKEVICH³

et al. 2022

SABRAOJBG

View full text Add to dashboard Cite

The progressive study determined the gliadin 'profile' and genetic diversity based on allelic variations of gliadin-coding loci in spring soft wheat (Triticum aestivum L.) selection from Russian and Kazakh origins. A total of 139 samples obtained from a spring soft wheat collection consisting of 62 from Russia and 77 from Kazakhstan were studied. As a result of electrophoretic analysis in Russian wheat, the share of monomorphic gliadin cultivars was 63% and polymorphic was 37%. However, in the Kazakh wheat collection, the share of polymorphic gliadin cultivars was 26%. The alleles were mostly found among the Russian cultivars, i.e., Gli-А1f (46.9%), Gli-В1е (43.7%), Gli-В1b (30.8%), Gli-D1а (61.0%), Gli-А2l (17.0%), Gli-А2m (16.9%), Gli-В2o (16.1%), and Gli-D2q (19.8%). In wheat genotypes collected from Kazakhstan, the following alleles dominated, i.e., Gli-А1f (47.4%), Gli-В1е (72.0%), Gli-D1а (61.7%), Gli-А2l (25.3%), Gli-А2s (16.2%), Gli-В2r (25.7%), and Gli-D2a (40.3%). The study compiled the so-called 'ideal' electrophoretic spectrum of gliadin for several countries to visualize the 'portrait' of wheat, created based on common blocks of gliadin identified by the researchers at different times. It assumed that cultivars close to the 'ideal' spectrum in gliadin alleles should have a complex of economically valuable features. For example, the spectrum of Russian wheat consists of the blocks of components controlled by alleles, i.e., f, e, a, q, o, e. As for the Kazakh wheat, its 'ideal' spectrum (f, e, a, l, r, a) coincides with the spectrum of Russian wheat at the loci Gli-1, as Russian cultivars were often taken as parental genotypes by the Kazakhstan breeders.

show abstract

Seeking Crops with Balanced Parts for the Ideal Whole

Cited by 21 publications

References 13 publications

Meristem transitions and plant architecture—learning from domestication for crop breeding

Meristem transitions and plant architecture—learning from domestication for crop breeding

Superior haplotypes towards development of low glycemic index rice with preferred grain and cooking quality

Allelic Composition of Gliadin-Coding Loci as a 'Portrait' in Spring Soft Wheat Selections of Russian and Kazakh Origins

Contact Info

Product

Resources

About