4 research outputs found
QTL mapping for physiology, yield and plant architecture traits in cotton (Gossypium hirsutum L.) grown under well-watered versus water-stress conditions
Increasing scarcity of irrigation water is a major threat to
sustainable production of cotton (Gossypium hirsutum L.). Identifying
genomic regions contributing to abiotic stress tolerance will help
develop cotton cultivars suitable for water-limited regions through
molecular marker-assisted breeding. A molecular mapping F2 population
was derived from an intraspecific cross of the drought sensitive G.
hirsutum cv. FH-901 and drought tolerant G. hirsutum cv. RH-510. Field
data were recorded on physiological traits (osmotic potential and
osmotic adjustment); yield and its component traits (seedcotton yield,
number of bolls/plant and boll weight); and plant architecture traits
(plant height and number of nodes per plant) for F2, F2:3 and F2:4
generations under well-watered versus water-limited growth conditions.
The two parents were surveyed for polymorphism using 6500 SSR primer
pairs. Joinmap3.0 software was used to construct linkage map with 64
polymorphic markers and it resulted into 35 markers mapped on 12
linkage groups. QTL analysis was performed by composite interval
mapping (CIM) using QTL Cartographer2.5 software. In total, 7 QTLs
(osmotic potential 2, osmotic adjustment 1, seedcotton yield 1, number
of bolls/plant 1, boll weight 1 and plant height 1) were identified.
There were three QTLs (qtlOP-2, qtlOA-1, and qtlPH-1) detected only in
water-limited conditions. Two QTLs (qtlSC-1 and qtlBW-1) were detected
for relative values. Two QTLs (qtlOP-1 and qtlBN-1) were detected for
well-watered treatment. Significant QTLs detected in this study can be
employed in MAS for molecular breeding programs aiming at developing
drought tolerant cotton cultivars
Pros and cons of using genomic SSRs and EST-SSRs for resolving phylogeny of the genus Gossypium
QTL mapping for physiology, yield and plant architecture traits in cotton (Gossypium hirsutum L.) grown under well-watered versus water-stress conditions
Increasing scarcity of irrigation water is a major threat to
sustainable production of cotton (Gossypium hirsutum L.). Identifying
genomic regions contributing to abiotic stress tolerance will help
develop cotton cultivars suitable for water-limited regions through
molecular marker-assisted breeding. A molecular mapping F2 population
was derived from an intraspecific cross of the drought sensitive G.
hirsutum cv. FH-901 and drought tolerant G. hirsutum cv. RH-510. Field
data were recorded on physiological traits (osmotic potential and
osmotic adjustment); yield and its component traits (seedcotton yield,
number of bolls/plant and boll weight); and plant architecture traits
(plant height and number of nodes per plant) for F2, F2:3 and F2:4
generations under well-watered versus water-limited growth conditions.
The two parents were surveyed for polymorphism using 6500 SSR primer
pairs. Joinmap3.0 software was used to construct linkage map with 64
polymorphic markers and it resulted into 35 markers mapped on 12
linkage groups. QTL analysis was performed by composite interval
mapping (CIM) using QTL Cartographer2.5 software. In total, 7 QTLs
(osmotic potential 2, osmotic adjustment 1, seedcotton yield 1, number
of bolls/plant 1, boll weight 1 and plant height 1) were identified.
There were three QTLs (qtlOP-2, qtlOA-1, and qtlPH-1) detected only in
water-limited conditions. Two QTLs (qtlSC-1 and qtlBW-1) were detected
for relative values. Two QTLs (qtlOP-1 and qtlBN-1) were detected for
well-watered treatment. Significant QTLs detected in this study can be
employed in MAS for molecular breeding programs aiming at developing
drought tolerant cotton cultivars