کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5761190 1624434 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
In-season assessment of grain protein and amylose content in rice using critical nitrogen dilution curve
ترجمه فارسی عنوان
ارزیابی پروتئین دانه و محتوای آمیلوز در برنج با استفاده از منحنی رقیق نیتروژن بحرانی
کلمات کلیدی
کیفیت دانه، منحنی رقت نیتروژن، مدل پیش بینی، پروتئین، آمیلوز اکوتایپ های برنج،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
چکیده انگلیسی
Effective nitrogen (N) management strategies ensure optimal N status in rice (Oryza sativa L.) plants for improving crop growth and grain quality with optimal N use efficiency. In-season plant N status affects rice grain quality. The critical N (Nc) dilution curves have been applied for predicting in-season nitrogen requirement (NR) and grain yield in rice, however, its application for estimating rice grain quality at harvest is yet to be tested. This research was endeavored to establish the quantitative relationships of protein content (PC) and amylose content (AC) with nitrogen nutrition index (NNI), accumulated nitrogen deficit (AND), and NR at various growth stages during vegetative growth period of rice and to validate these relationships in Japonica and Indica rice ecotypes. Five multi-locational field trials with five rice cultivars and varied N application rates were carried out in eastern China. The quantitative relationships of PC and AC with NNI, AND, and NR at various growth stages in both rice ecotypes were highly significant (for Japonica and Indica, R2 > 0.88 and 0.85 for PC, R2 > 0.85 and 0.81 for AC, respectively). The strongest relations were observed for both rice ecotypes at later vegetative growth stages and periods. The validation of the developed quantitative relationships with the independent dataset revealed a solid model performance, especially during later vegetative growth period (R2 > 0.90, root mean square error <18%) and confirmed their robustness as reliable predictors for assessing in-season grain quality in rice. The projected results can be used for estimating in-season grain quality and precision N management for rice.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Agronomy - Volume 90, October 2017, Pages 139-151
نویسندگان
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