Tradeoffs Between Yield Components Promote Crop Stability in Sesame
Overview
Authors
Affiliations
Sesame is an important oil-crop worldwide. Complex tradeoffs between various yield components significantly affect the outcome yield. Our aims were to characterize the effect of genotype, environment and management, and their interactions, on yield components. Wild-type line, bearing a bicarpellate-capsule and three capsules per leaf axil, and its derived mutant-line, featuring one tetracarpellate-capsule per leaf axil, were analyzed under two irrigation regimes and three sowing-stands. Dissection of flower meristems and capsules showed larger placenta size and final capsule diameter in the mutant-line. Allelic segregation of F population revealed that the number of carpels per capsule demonstrates monogenic inheritance, whereas the number of capsules per leaf axil is a polygenic trait. A significant effect of genotype, irrigation and stand was observed on most yield components. While wild-type had more capsules per plant, the mutant-line compensated by increased seed number per capsule and consequently accumulated the same number of seeds per plant. Under either high intra-row or inter-row density, the branches number was reduced; however, the outcome yield was compensated by number of plants per area. While some yield components showed phenotypic-plasticity (branching), other traits were genetically stable (number of capsules per leaf axil and number of carpels per capsule). Our result shed-light on tradeoffs between yield components and on their underlying mechanisms.
Sesame, an Underutilized Oil Seed Crop: Breeding Achievements and Future Challenges.
Rauf S, Basharat T, Gebeyehu A, Elsafy M, Rahmatov M, Ortiz R Plants (Basel). 2024; 13(18).
PMID: 39339635 PMC: 11434663. DOI: 10.3390/plants13182662.
Refining flowering date enhances sesame yield independently of day-length.
Sabag I, Pnini S, Morota G, Peleg Z BMC Plant Biol. 2024; 24(1):711.
PMID: 39060970 PMC: 11282604. DOI: 10.1186/s12870-024-05431-8.
QTL mapping of yield-related traits in sesame.
Mei H, Liu Y, Cui C, Hu C, Xie F, Zheng L Mol Breed. 2023; 41(7):43.
PMID: 37309387 PMC: 10236103. DOI: 10.1007/s11032-021-01236-x.
Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesame.
Sabag I, Bi Y, Peleg Z, Morota G Front Genet. 2023; 14:1108416.
PMID: 36992702 PMC: 10040590. DOI: 10.3389/fgene.2023.1108416.
Sabag I, Morota G, Peleg Z BMC Plant Biol. 2021; 21(1):549.
PMID: 34809568 PMC: 8607594. DOI: 10.1186/s12870-021-03328-4.