Identification of small effect quantitative trait loci of plant architectural, flowering, and early maturity traits in reciprocal interspecific introgression population in cotton

Abstract

Plant architecture, flowering time and maturity traits are important determinants of yield and fiber quality of cotton. Genetic dissection of loci determining these yield and quality components is complicated by numerous loci with alleles conferring small differences. Therefore, mapping populations segregating for smaller numbers and sizes of introgressed segments is expected to facilitate dissection of these complex quantitative traits. At an advanced stage in the development of reciprocal advanced backcross populations from crosses between elite Gossypium hirsutum cultivar ‘Acala Maxxa’ (GH) and G. barbadense ‘Pima S6’ (GB), we undertook mapping of plant architectural traits, flowering time and maturity. A total of 284 BC4F1 and BC4F2 progeny rows, 120 in GH and 164 in GB background, were evaluated for phenotype, with only 4 and 3 (of 7) traits showing significant differences among progenies. Genotyping by sequencing yielded 3,186 and 3,026 SNPs, respectively, that revealed a total of 27 QTLs in GH background and 22 in GB, for plant height, days to flowering, residual flowering at maturity and maturity. More than of 90% QTLs identified in both backgrounds had small effects (%PV < 10), supporting the merit of this population structure to reduce background noise and small effect QTLs. Germplasm developed in this study may serve as potential pre-breeding material to develop improved cotton cultivars.

Single and multi‐trait genome‐wide association studies identify genomic regions associated with phenological traits in cowpea

“…Nonetheless, it is noteworthy that certain small‐effect QTLs may not only individually impact characteristics but also interact with other loci, thereby enhancing our comprehension of the genetic architecture underlying significant complex traits. Consequently, while marker‐assisted selection aims for high‐effect QTLs, the accumulation of small‐effect loci through pyramiding can also significantly contribute to the enhancement of various cowpea traits (Chandnani et al., 2022).…”

SiNF-YC2 Regulates Early Maturity and Salt Tolerance in Setaria italica

“…Although late-ripening varieties can produce high and stable yields, it is difficult to optimize the agricultural industry structure with such varieties. However, early-maturing varieties can effectively avoid the effects of cold, dew, and wind and often achieve high and stable yields [ 28 ]. Therefore, early-maturing varieties with an appropriate maturity stage need to be selected.…”

“…Therefore, early-maturing varieties with an appropriate maturity stage need to be selected. The discovery of early-maturity genes was an important step in selecting crop varieties with early maturity and high yields [ 28 ]. OsNF-YB11 is very important for the heading date, plant height, and yield of rice [ 29 ].…”

Deterministic Formulas and Procedures for Stochastic Trait Introgression Prediction

“…This approach has been used to integrate increased performance for a variety of traits with different effects [4][5][6][7] that are conferred by native and/or transgenes [8]. Common examples include yield [4], disease resistance [9], drought tolerance [10], salinity tolerance [5], flood tolerance [11], herbicide tolerance [12], and maturity [13].…”