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Optimizing Nitrogen Application for Chinese Ratoon Rice Based on Yield and Reactive Nitrogen Loss.
- Source :
- Agriculture; Basel; Jul2022, Vol. 12 Issue 7, p1064, 14p
- Publication Year :
- 2022
-
Abstract
- Ratoon rice (RR) has been regarded as a labor-saving and beneficial production system. Nitrogen (N) surplus and reactive N losses (Nr losses) are effective environmental indicators used to evaluate the performance of N management. Few studies have assessed N surplus and Nr losses for Chinese RR. In this study, Chinese RR planting areas were divided into South China (SC), the southern part of East China (SEC), Central China (CC), the northern part of East China (NEC), and Southwest China (SW). N surplus and Nr losses were also calculated based on 782 studies using a quadratic model under optimized N management for the highest yield (OPT-yield), the highest N-use efficiency (NUE) (OPT-NUE), and the highest grain N uptake (OPT-N uptake). The RR yields in the five regions ranged from 9.98 to 13.59 t ha<superscript>−1</superscript>. The high-yield record was observed in SEC, while the low-yield record was observed in NEC. The highest and the lowest Nr losses were found in NEC and SC, respectively. N surplus was reduced, while the yield was maintained in SEC, CC, NEC, and SW under OPT-yield and OPT-N uptake, and N surplus and Nr losses were reduced in the five regions when targeting the highest NUE. Farmers should be encouraged to plant RR in SEC and CC. RR was also a good choice when N management measures were conducted in three other regions. To achieve a win–win situation for both yield and the environment, OPT-yield could serve to improve the N management of current conventional practices. [ABSTRACT FROM AUTHOR]
- Subjects :
- ENVIRONMENTAL indicators
RICE
PERFORMANCE management
REVENUE management
NITROGEN
Subjects
Details
- Language :
- English
- ISSN :
- 20770472
- Volume :
- 12
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Agriculture; Basel
- Publication Type :
- Academic Journal
- Accession number :
- 158159459
- Full Text :
- https://doi.org/10.3390/agriculture12071064