کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8879143 1624640 2018 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Potassium relative ratio to nitrogen considerably favors carbon metabolism in late-planted cotton at high planting density
ترجمه فارسی عنوان
نسبت نسبی پتاسیم به نیتروژن به طور قابل توجهی از متابولیسم کربن در پنبه دیر کاشته شده در تراکم بالای کاشت کمک می
کلمات کلیدی
پنبه، پتاسیم، متابولیسم کربن، محتویات کربوهیدرات، فعالیت آنزیمی متابولیک،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
چکیده انگلیسی
A new planting model characterized with late sowing, high planting density, low N and single fertilizer application is much competitive to combat the present high cost cotton production. However, what is the optimal relative ratio of K to N under this model? as we understand it certainly plays a critical role in cotton production through a series of physiological processes. A two year (2016-2017) field experiment was conducted in a randomized complete block design with three K ratios relative to N [0.8 (K1), 1.0 (K2), and 1.2 (K3)] with four replications. Results showed that relative increase in K ratio had significant effect on functional leaf biomass, specific leaf weight, carbon metabolism as well as cotton yield in both growing seasons. K3 and K2 produced the similar seed cotton yield but higher than K1 in both years. Similarly, K3 and K2 prominently up-regulated the activity of ribulose 1, 5-bisphosphate carboxylase oxygenase (Rubisco), sucrose phosphate synthase (SPS) and sucrose synthase (SS) but down-regulated the activity of soluble acid invertase (SAI), glucose-6-phosphate dehydrogenase (G6PDH) and 6-phosphogluconate dehydrogenase (6PGDH). Moreover, the balance of carbohydrates (sucrose, starch, glucose and fructose) and ATP was more efficient under higher K ratio (K3 and K2) as compared with K1. These findings might suggest that K rate should be equal to N as for promising yield and profitable return are concerned under newly proposed cotton planting model in the Yangtze River Valley of China.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Field Crops Research - Volume 223, 15 June 2018, Pages 48-56
نویسندگان
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