Abstract
【Objective】This paper aims at probing the relationship between agronomical traits, physi-biochemical traits and drought tolerance of wheat cultivars. 【Method】 A total of 12 traits, including 5 agronomical traits and 7 physi-biochemical traits that measured in 65 wheat cultivars grown at drought shelter and no-irrigation conditions, were analyzed using gray relational grade analysis method. 【Result】 Gray correlation degrees facilitated in identifying the drought tolerance of wheat. They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866). And the cluster based on the weighted drought-tolerance index of cultivars could well represent their bred and applied areas. Cultivars that had the strongest drought tolerance among the 65 cultivars were Luohan 6, Xiaoyan 6, Jinmai 47, Shanmai 168 etc. 【Conclusion】 It was concluded that the physi-biochemical traits related to leaf stomatal had the closest relationship with the drought tolerance of wheat, and these traits were significantly influenced by water stress, thus had the greatest relation degree with drought-tolerance index. So the physi-biochemical traits including stomata conductance, photosynthetic rate and transpiration rate could be used in the trait-based selection of drought tolerance to improve the selection efficiency.
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Claims 20
Claim · model-written summary
Gray correlation degrees helped identify wheat drought tolerance
- Taxon
- wheat
Triticum aestivume0 - Outcome
- identifying the drought tolerancee0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Gray correlation degrees facilitated in identifying the drought tolerance of wheat.”
Claim · model-written summary
stomatal conductance had gray correlation degree 0.7995 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- stomatal conductancee0
- Value
- 0.7995e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
photosynthetic rate had gray correlation degree 0.7909 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- photosynthetic ratee0
- Value
- 0.7909e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
transpiration rate had gray correlation degree 0.7556 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- transpiration ratee0
- Value
- 0.7556e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
soluble sugar content had gray correlation degree 0.7467 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- soluble sugar contente0
- Value
- 0.7467e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
MDA content had gray correlation degree 0.7336 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- MDA contente0
- Value
- 0.7336e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
dissociative proline content had gray correlation degree 0.7267 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- dissociative proline contente0
- Value
- 0.7267e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
spike length had gray correlation degree 0.7102 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- spike lengthe0
- Value
- 0.7102e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
number of kernel per spike had gray correlation degree 0.7095 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- number of kernel per spikee0
- Value
- 0.7095e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
1000-kernel weight had gray correlation degree 0.7005 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- 1000-kernel weighte0
- Value
- 0.7005e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
water potential had gray correlation degree 0.6959 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- water potentiale0
- Value
- 0.6959e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
effective tiller number had gray correlation degree 0.6951 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- effective tiller numbere0
- Value
- 0.6951e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
plant height had gray correlation degree 0.6866 with wheat drought tolerance
- Taxon
- wheatTriticum aestivumt0
- Outcome
- plant heighte0
- Value
- 0.6866e0
- Comparator
- drought tolerance indexe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“They were calculated between each trait and its drought tolerance index and were ranked according to their gray correlation degree to drought tolerance as follows: stomatal conductance (0.7995), photosynthetic rate (0.7909), transpiration rate (0.7556), soluble sugar content (0.7467), MDA content (0.7336), dissociative proline content (0.7267), spike length (0.7102), number of kernel per spike (0.7095), 1000-kernel weight (0.7005), water potential (0.6959), effective tiller number (0.6951), plant height (0.6866).”
t0“Wheat”
Claim · model-written summary
Clustering by weighted drought tolerance index represented cultivar breeding and application areas
- Taxon
- wheatTriticum aestivumt0
- Outcome
- represent their bred and applied arease0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“And the cluster based on the weighted drought-tolerance index of cultivars could well represent their bred and applied areas.”
t0“Wheat”
Claim · model-written summary
Luohan 6 was among the strongest drought tolerant wheat cultivars
- Taxon
- wheatTriticum aestivumt0
- Material
- Luohan 6e0
- Outcome
- drought tolerancee0
- Direction
- strongeste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Cultivars that had the strongest drought tolerance among the 65 cultivars were Luohan 6, Xiaoyan 6, Jinmai 47, Shanmai 168 etc.”
t0“Wheat”
Claim · model-written summary
Xiaoyan 6 was among the strongest drought tolerant wheat cultivars
- Taxon
- wheatTriticum aestivumt0
- Material
- Xiaoyan 6e0
- Outcome
- drought tolerancee0
- Direction
- strongeste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Cultivars that had the strongest drought tolerance among the 65 cultivars were Luohan 6, Xiaoyan 6, Jinmai 47, Shanmai 168 etc.”
t0“Wheat”
Claim · model-written summary
Jinmai 47 was among the strongest drought tolerant wheat cultivars
- Taxon
- wheatTriticum aestivumt0
- Material
- Jinmai 47e0
- Outcome
- drought tolerancee0
- Direction
- strongeste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Cultivars that had the strongest drought tolerance among the 65 cultivars were Luohan 6, Xiaoyan 6, Jinmai 47, Shanmai 168 etc.”
t0“Wheat”
Claim · model-written summary
Shanmai 168 was among the strongest drought tolerant wheat cultivars
- Taxon
- wheatTriticum aestivumt0
- Material
- Shanmai 168e0
- Outcome
- drought tolerancee0
- Direction
- strongeste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Cultivars that had the strongest drought tolerance among the 65 cultivars were Luohan 6, Xiaoyan 6, Jinmai 47, Shanmai 168 etc.”
t0“Wheat”
Claim · model-written summary
Stomatal physiological traits had the closest relationship with wheat drought tolerance
- Taxon
- wheatTriticum aestivume0
- Organ / stage
- leaf stomatale0
- Outcome
- drought tolerancee0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“It was concluded that the physi-biochemical traits related to leaf stomatal had the closest relationship with the drought tolerance of wheat, and these traits were significantly influenced by water stress, thus had the greatest relation degree with drought-tolerance index.”
Claim · model-written summary
Stomatal conductance, photosynthetic rate and transpiration rate could guide drought tolerance selection
- Taxon
- wheatTriticum aestivumt0
- Outcome
- trait-based selection of drought tolerancee0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“So the physi-biochemical traits including stomata conductance, photosynthetic rate and transpiration rate could be used in the trait-based selection of drought tolerance to improve the selection efficiency.”
t0“Wheat”