Faba bean genetics and crop growth models – progress to date and opportunities for integration

Plant and Soil, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Language: Английский

---

Evaluating differences among crop models in simulating soybean in-season growth

Field Crops Research, Journal Year: 2024, Volume and Issue: 309, P. 109306 - 109306

Published: Feb. 28, 2024

Language: Английский

---

Genetic adaptation of phenological stages in Chinese and European elite soybeans (Glycine max [L.] Merr.) across latitudes in Central Europe

Plant Breeding, Journal Year: 2024, Volume and Issue: 143(5), P. 695 - 705

Published: July 4, 2024

Abstract Genetic adaptation of soybean phenological stages to high‐latitude long‐day environments is the major pre‐requisite for enhancing regional plant‐based protein production. Both E ‐genes controlling flowering and growing environment determine timing maturity, ‐gene composition might differ between Chinese European soybeans bearing potential improving adaptability. Therefore, 140 early maturity elite cultivars either or origin were genotyped E1 E4 loci, genotypes tested across 17 spanning a latitude range from 45 52°N in order effects various ‐allele combinations. Differences largest loci E3 . Wild‐type alleles significantly delayed flowering, particular ‐alleles depending on geographic latitude. Consequently, photoperiod‐insensitive ‐haplotypes carrying several non‐functional proved be suitable cultivation higher latitudes, whereas photoperiod‐sensitive late‐maturity are adapted lower latitudes only. Thus, breeding new through combining could enhance further northern regions.

Language: Английский

---

Depicting Soybean Diversity via Complementary Application of Three Marker Types

Plants, Journal Year: 2025, Volume and Issue: 14(2), P. 201 - 201

Published: Jan. 12, 2025

Driven by the growing demands for plant-based protein in Europe and attempts of soybean breeding programs to improve productivity created varieties, this study aimed enhance genetic resource utilization efficiency providing information relevant well-focused targets. A set 90 accessions was subjected a comprehensive assessment diversity working collection using three marker types: morphological descriptors, agronomic traits, SSRs. Genotype grouping patterns varied among markers, displaying best congruence with pedigree data maturity SSRs respectively. The clear origin-related pattern not observed any types. For assessed Homogeneity Analysis Means Alternating Least Squares (HOMALS) yielded most efficient classification identifying traits highest discriminative power separating genotypes into homogeneous groups. According distances (GDs), found descriptors (GD = 517), followed 0.317) 0.244). analysis molecular variance (AMOVA) revealed weak differentiation between geographic groups (ΦST 0.061), emphasizing Canadian 0.148 **). low correlation morphological, i.e., trait-based matrices (0.061 *, –0.027, respectively). overall highlighted importance introducing new sources variation promote long-term improvement breeding.

Language: Английский

---

An integrated, multivariate characterisation of water and photothermal regimes for faba bean in Australia

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 363, P. 110426 - 110426

Published: Feb. 3, 2025

Language: Английский

---