Abstract
Abstract One of the study’s main goals is to find high-yielding and stable genotypes in cotton under normal irrigation conditions (NIC) and drought stress conditions (DSC), as well as the comparison between parametric and non-parametric stability statistics. In order to achieve this objective, 24 cotton genotypes were evaluated under NIC and DSC during the 2019 and 2020 growing seasons (four environments) at the Sakha Agriculture Research Station in the Kafr El-Sheikh Governorate of Egypt. Every trial was set up using a randomized complete block design with three replications. According to the ANOVA, years under NIC and genotypes under DSC had a highly significant impact on the seed cotton yield. The AMMI analysis showed significant effects of environments (P < 0.01), genotypes, and their interaction (GEI) (P < 0.05) on seed cotton yield in four environments (two years and two irrigation conditions). The AMMI model successfully divided the variability by GEI into three principal component axes (PCs), only PC1 explained 87% of the total variability of GEI. When compared to NIC, seed cotton productivity across DSC was found to be significantly reduced, ranging from 8.54% (G5 genotype) to 42.38% (G3 genotype). The stability statistics have the ability to separate, rank, and detect stable genotypes in both irrigation conditions. According to Y i , YS i and TOP stability measures, the genotypes G1, G5, G20 and G19 were determined as the most stable genotypes (dynamically) with the highest yielding performance, while, the genotypes G8 and G4 were the most stable (statically) with moderate seed cotton yield using most other stability statistics. Based on rank, Spearman’s rank correlation, PCA biplot and heatmap data, the stability parameters can be divided into two major groups that corresponded to different dynamic and static concepts of stability under NIC and DSC. The first group includes YS i and TOP , which are strongly correlated with Y i (dynamic). While, the second group has other stability statistics, which negatively correlated with Y i , thus related to the static concept. Generally, the genotypes G5 and G8 were stable coupled with high and moderate yield, respectively. Therefore, these genotypes are used in the cotton breeding programs for the development of improved cotton varieties to address drought conditions in Egypt.
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Claims 17
Claim · model-written summary
Years under normal irrigation significantly affected seed cotton yield.
- Taxon
- cotton
Gossypium hirsutume0 - Outcome
- seed cotton yielde0
- Setting
- NICe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“years under NIC and genotypes under DSC had a highly significant impact on the seed cotton yield”
Claim · model-written summary
Genotypes under drought significantly affected seed cotton yield.
- Taxon
- cottonGossypium hirsutumt0
- Material
- genotypese0
- Outcome
- seed cotton yielde0
- Qualifier
- DSCe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“genotypes under DSC had a highly significant impact on the seed cotton yield”
t0“cotton”
Claim · model-written summary
Environments significantly affected seed cotton yield in the AMMI analysis.
- Taxon
- cottonGossypium hirsutumt0
- Outcome
- seed cotton yielde0
- Value
- P < 0.01e0
- Setting
- environmentse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The AMMI analysis showed significant effects of environments (P < 0.01), genotypes, and their interaction (GEI) (P < 0.05) on seed cotton yield in four environments”
t0“cotton”
Claim · model-written summary
Genotypes significantly affected seed cotton yield in the AMMI analysis.
- Taxon
- cottonGossypium hirsutumt0
- Material
- genotypese0
- Outcome
- seed cotton yielde0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The AMMI analysis showed significant effects of environments (P < 0.01), genotypes, and their interaction (GEI) (P < 0.05) on seed cotton yield in four environments”
t0“cotton”
Claim · model-written summary
Genotype by environment interaction significantly affected seed cotton yield.
- Taxon
- cottonGossypium hirsutumt0
- Outcome
- seed cotton yielde0
- Value
- P < 0.05e0
- Setting
- four environmentse0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“their interaction (GEI) (P < 0.05) on seed cotton yield in four environments”
t0“cotton”
Claim · model-written summary
AMMI PC1 explained 87% of genotype by environment variability.
- Taxon
- cottonGossypium hirsutumt0
- Outcome
- total variability of GEIe0
- Value
- 87%e0
- Qualifier
- PC1e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“only PC1 explained 87% of the total variability of GEI”
t0“cotton”
Claim · model-written summary
Drought significantly reduced G5 seed cotton productivity by 8.54% versus normal irrigation.
- Taxon
- cottonGossypium hirsutumt0
- Material
- G5 genotypee0
- Treatment
- DSCe0
- Outcome
- seed cotton productivitye0
- Direction
- reducede0
- Value
- 8.54%e0
- Comparator
- NICe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“When compared to NIC, seed cotton productivity across DSC was found to be significantly reduced, ranging from 8.54% (G5 genotype) to 42.38% (G3 genotype)”
t0“cotton”
Claim · model-written summary
Drought significantly reduced G3 seed cotton productivity by 42.38% versus normal irrigation.
- Taxon
- cottonGossypium hirsutumt0
- Material
- G3 genotypee0
- Treatment
- DSCe0
- Outcome
- seed cotton productivitye0
- Direction
- reducede0
- Value
- 42.38%e0
- Comparator
- NICe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“When compared to NIC, seed cotton productivity across DSC was found to be significantly reduced, ranging from 8.54% (G5 genotype) to 42.38% (G3 genotype)”
t0“cotton”
Claim · model-written summary
Stability statistics could rank and detect stable cotton genotypes under both irrigation conditions.
- Taxon
- cottonGossypium hirsutumt0
- Outcome
- separate, rank, and detect stable genotypese0
- Comparator
- both irrigation conditionse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The stability statistics have the ability to separate, rank, and detect stable genotypes in both irrigation conditions”
t0“cotton”
Claim · model-written summary
G1, G5, G20 and G19 had the highest yield and dynamic stability.
- Taxon
- cottonGossypium hirsutumt0
- Material
- G1, G5, G20 and G19e0
- Outcome
- most stable genotypes (dynamically) with the highest yielding performancee0
- Direction
- higheste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the genotypes G1, G5, G20 and G19 were determined as the most stable genotypes (dynamically) with the highest yielding performance”
t0“cotton”
Claim · model-written summary
G8 and G4 had static stability and moderate seed cotton yield.
- Taxon
- cottonGossypium hirsutumt0
- Material
- G8 and G4e0
- Outcome
- most stable (statically) with moderate seed cotton yielde0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the genotypes G8 and G4 were the most stable (statically) with moderate seed cotton yield”
t0“cotton”
Claim · model-written summary
Stability parameters formed two groups corresponding to dynamic and static stability.
- Taxon
- cottonGossypium hirsutumt0
- Outcome
- two major groupse0
- Value
- two major groupse0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the stability parameters can be divided into two major groups that corresponded to different dynamic and static concepts of stability under NIC and DSC”
t0“cotton”
Claim · model-written summary
YS i and TOP were strongly correlated with Y i.
- Taxon
- cottonGossypium hirsutumt0
- Outcome
- YS i and TOPe0
- Comparator
- Y ie0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“YS i and TOP , which are strongly correlated with Y i (dynamic)”
t0“cotton”
Claim · model-written summary
Other stability statistics were negatively correlated with Y i.
- Taxon
- cottonGossypium hirsutumt0
- Outcome
- other stability statisticse0
- Direction
- negativelye0
- Comparator
- Y ie0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“other stability statistics, which negatively correlated with Y i , thus related to the static concept”
t0“cotton”
Claim · model-written summary
G5 was stable with high yield.
- Taxon
- cottonGossypium hirsutumt0
- Material
- G5e0
- Outcome
- stable coupled with highe0
- Direction
- highe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the genotypes G5 and G8 were stable coupled with high and moderate yield, respectively”
t0“cotton”
Claim · model-written summary
G8 was stable with moderate yield.
- Taxon
- cottonGossypium hirsutumt0
- Material
- G8e0
- Outcome
- stable coupled with high and moderate yielde0
- Direction
- moderatee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the genotypes G5 and G8 were stable coupled with high and moderate yield, respectively”
t0“cotton”
Claim · model-written summary
The authors recommend G5 and G8 for breeding drought-adapted cotton varieties.
- Taxon
- cottonGossypium hirsutume0
- Outcome
- used in the cotton breeding programse0
- Setting
- Egypte0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“these genotypes are used in the cotton breeding programs for the development of improved cotton varieties to address drought conditions in Egypt”
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