Screening of drought resistance indices and evaluation of drought resistance in cotton (Gossypium hirsutum L.)
(چکیده مقاله) :
Abstract :
Sixteen cotton cultivars widely planted in China were sowed under five different drought concentrations (0, 2.5, 5, 7.5,
and 10%) using PEG6000 to screen the indices of drought resistance identification and explore the drought resistance of
different cotton cultivars. Eighteen physiological indices including root, stem, and leaf water contents (RWC, SWC, and
LWC), net photosynthetic rate (Pn), the maximum photochemical quantum yield (Fv/Fm), the actual photochemical quantum
yield (ΦPSII), non-photochemical quenching coefficient (NPQ), leaf water potential (LWP), osmotic potential (Ψs), leaf
relative conductivity (REC), leaf proline content (Pro), leaf and root soluble protein contents (LSPC and RSPC), leaf and
root malondialdehyde (MDA) contents (LMDA and RMDA), root superoxide dismutase, peroxidase, and catalase activities
(RSOD, RPOD, and RCAT) were measured. Results indicated the 18 physiological indices can be converted into five or
six independent comprehensive indices by principal component analysis, and nine typical indices (Fv/Fm, SWC, LWP, Pro,
LMDA, RSPC, RMDA, RSOD, and RCAT) screened out by a stepwise regression method could be utilized to evaluate the
drought resistance. Moreover, the 16 cotton cultivars were divided into four types: drought sensitive, drought weak sensitive,
moderate drought resistant, and drought resistant types. The resistance ability of two selected cotton cultivars (drought
resistant cultivar, Dexiamian 1; drought sensitive cultivar, Yuzaomian 9110) with contrasting drought sensitivities were
further verified by pot experiment. Results sho
and 10%) using PEG6000 to screen the indices of drought resistance identification and explore the drought resistance of
different cotton cultivars. Eighteen physiological indices including root, stem, and leaf water contents (RWC, SWC, and
LWC), net photosynthetic rate (Pn), the maximum photochemical quantum yield (Fv/Fm), the actual photochemical quantum
yield (ΦPSII), non-photochemical quenching coefficient (NPQ), leaf water potential (LWP), osmotic potential (Ψs), leaf
relative conductivity (REC), leaf proline content (Pro), leaf and root soluble protein contents (LSPC and RSPC), leaf and
root malondialdehyde (MDA) contents (LMDA and RMDA), root superoxide dismutase, peroxidase, and catalase activities
(RSOD, RPOD, and RCAT) were measured. Results indicated the 18 physiological indices can be converted into five or
six independent comprehensive indices by principal component analysis, and nine typical indices (Fv/Fm, SWC, LWP, Pro,
LMDA, RSPC, RMDA, RSOD, and RCAT) screened out by a stepwise regression method could be utilized to evaluate the
drought resistance. Moreover, the 16 cotton cultivars were divided into four types: drought sensitive, drought weak sensitive,
moderate drought resistant, and drought resistant types. The resistance ability of two selected cotton cultivars (drought
resistant cultivar, Dexiamian 1; drought sensitive cultivar, Yuzaomian 9110) with contrasting drought sensitivities were
further verified by pot experiment. Results sho
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار: 2020
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 14 صفحه
سال انتشار: 2020
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 14 صفحه
Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI سال انتشار2020 \ ZOU Jie, HU Wei, LI Yu-xia, HE Jia-qi, ZHU Hong-hai, ZHOU Zhi-guo
Sent date(تاریخ ارسال) :
1399/04/20 | 7/10/2020
Number of visits(تعداد بازدید):
612
Key words (کلمات کلیدی):
cotton (Gossypium hirsutum L.), drought resistance, screening indices, principal component analysis, cultivar verification
Number of pages(تعداد صفحات) :
14
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