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Assessing factors related to yield gaps in flooded rice in southern Brazil

Authors :
Ghisleni Ribas, Giovana
Streck, Nereu Augusto
da Rosa Ulguim, André
Selau Carlos, Filipe
Maus Alberto, Cleber
Mazzuco de Souza, Pablo
Bercellos, Tuira
Puntel, Simone
Zanon, Alencar Junior
Source :
Agronomy Journal; July 2021, Vol. 113 Issue: 4 p3341-3350, 10p
Publication Year :
2021

Abstract

Identifying the causes of the yield gap (Yg) is essential to understand and take proactive measures to improve crop management factors. Brazil is the country in the Americas with the highest area of flooded rice (Oryza sativaL.) and the Rio Grande do Sul (RS) state accounts for 73% of the Brazilian rice production. The objective was to determine yield potential (Yp) and Yg in flooded rice and identify key factors associated with high yield (HY) and low yield (LY) farms across the rice production regions in RS, Brazil. Yield and management practices data from farmers were collected by a survey that included 324 site‐year observations fields covering the five major RS production regions during three growing seasons (2016–2018). The Yp was simulated by Oryzacrop model. The Yg was calculated as the difference between Yp and the average yield from farmers. Factors related between tertiles were studied by identifying management practices that were associated with high‐ and low‐yielding fields. Rice Yp ranged from 14.2 to 15.9 Mg ha−1and the Yg was 48% of the estimated average Yp (15.1 Mg ha–1). Our findings indicated that HY fields had 33% higher productivity, rotated more area with soybean [Glycine max (L.) Merr.] (77%), controlled pre‐sowing weeds by only herbicides (56%), sowed 20 d early with lower seeding rate (6%) and had early onset irrigation (5 d) compared to LY fields. These findings are applicable to rice farmers worldwide, and can help to define priorities in research and extension programs at both local and regional levels. Yield potential average was 15.1 Mg ha−1and yield gap was 48% of yield potential.Sowing date, irrigation, N fertilizer, rotation, weed and seed rate explained yield variation.The lowest yield gap for sowing date was 12% for the sowing window from 18 October to 3 November.Onset of irrigation delay after V3‐stage decreased yield by 180 kg ha−1d–1.

Details

Language :
English
ISSN :
00021962 and 14350645
Volume :
113
Issue :
4
Database :
Supplemental Index
Journal :
Agronomy Journal
Publication Type :
Periodical
Accession number :
ejs57449859
Full Text :
https://doi.org/10.1002/agj2.20754