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Spatio-temporal variability of sugarcane (Saccharum officinarum) yield in relation to edaphoclimatic factors in the central region of Brazil.

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Title: Spatio-temporal variability of sugarcane (Saccharum officinarum) yield in relation to edaphoclimatic factors in the central region of Brazil.
Authors: Capuchinho, Frank Freire1 (AUTHOR) frankfreirec@gmail.com, Casaroli, Derblai1 (AUTHOR) derblai@ufg.br, Alves Júnior, José2 (AUTHOR) josealvesufg@yahoo.com.br, Pêgo Evangelista, Adão Wagner3 (AUTHOR) awpego@gmail.com, Nunes Xavier, Maxuel Fellipe4 (AUTHOR) maxuel_xavier@discente.ufg.br, Irigoyen, Andrea Inés5 (AUTHOR) airigoyenar@yahoo.com.ar, Neves Harmyans Moreira, Alisson6 (AUTHOR) alisson.harmyans@ufg.br
Source: Crop & Pasture Science. 2025, Vol. 76 Issue 4, p1-16. 16p.
Subject Terms: *CHEMICAL yield, *SOIL chemistry, *AGRICULTURE, *CROP yields, *CLUSTER analysis (Statistics), *SUGARCANE
Abstract: Context: Production of sugarcane (Saccharum officinarum) in Brazil holds a significant global position. However, it faces challenges in yield optimization due to unfavorable edaphoclimatic conditions and technological limitations. Aim: This study aimed to correlate the spatio-temporal variability of sugarcane yield with edaphoclimatic conditions in the central region of Brazil. Methods: This study included 11 sugarcane producing municipalities in central region of Brazil. It utilized 47 years of historical data on yield, climate, and soil. To isolate the climatic effects on yield (Yr), technological trends (YrNT) were removed via simple linear regression adjustment, followed by cluster analysis. Key results: Four groups of Yr and YrNT were identified. Group 1 exhibited the highest average yield (77 Mg ha−1), while Group 4 had the lowest (47 Mg ha−1), with a yield gap of approximately 10.2 Mg ha−1. Municipalities with the highest Yr averages were in Clusters 3 and 4 for climate, and Clusters 2 and 3 for soil. Conclusions: The higher occurrence of anomalies lower than 1.0 σ for climate Group 3 of YrNT indicates that unfavorable climatic conditions combined with inadequate production technologies can lead to significant yield losses (26% of years). Evaluating sugarcane yield by considering crop cycles and edaphoclimatic factors before technological trends can provide a more accurate insight into yield variability. Implications: Understanding the relationship between edaphoclimatic factors and sugarcane yield variation can guide targeted interventions, aiding in the development of strategies to mitigate losses in sugarcane farming. Brazil is the largest producer of sugarcane (Saccharum officinarum) in the world, which produces sugar, ethanol and energy (biomass). Both climate efficiency and agricultural efficiency (best management practices) are obtained from knowledge of edaphoclimatic variability, both in space (different regions) and in time (phenological phases and cycles). Based on the results of this work, it was possible to identify climatic and soil groups with the best characteristics to obtain higher sugarcane yields. [ABSTRACT FROM AUTHOR]
Database: Academic Search Index
Description
Abstract:Context: Production of sugarcane (Saccharum officinarum) in Brazil holds a significant global position. However, it faces challenges in yield optimization due to unfavorable edaphoclimatic conditions and technological limitations. Aim: This study aimed to correlate the spatio-temporal variability of sugarcane yield with edaphoclimatic conditions in the central region of Brazil. Methods: This study included 11 sugarcane producing municipalities in central region of Brazil. It utilized 47 years of historical data on yield, climate, and soil. To isolate the climatic effects on yield (Yr), technological trends (YrNT) were removed via simple linear regression adjustment, followed by cluster analysis. Key results: Four groups of Yr and YrNT were identified. Group 1 exhibited the highest average yield (77 Mg ha−1), while Group 4 had the lowest (47 Mg ha−1), with a yield gap of approximately 10.2 Mg ha−1. Municipalities with the highest Yr averages were in Clusters 3 and 4 for climate, and Clusters 2 and 3 for soil. Conclusions: The higher occurrence of anomalies lower than 1.0 σ for climate Group 3 of YrNT indicates that unfavorable climatic conditions combined with inadequate production technologies can lead to significant yield losses (26% of years). Evaluating sugarcane yield by considering crop cycles and edaphoclimatic factors before technological trends can provide a more accurate insight into yield variability. Implications: Understanding the relationship between edaphoclimatic factors and sugarcane yield variation can guide targeted interventions, aiding in the development of strategies to mitigate losses in sugarcane farming. Brazil is the largest producer of sugarcane (Saccharum officinarum) in the world, which produces sugar, ethanol and energy (biomass). Both climate efficiency and agricultural efficiency (best management practices) are obtained from knowledge of edaphoclimatic variability, both in space (different regions) and in time (phenological phases and cycles). Based on the results of this work, it was possible to identify climatic and soil groups with the best characteristics to obtain higher sugarcane yields. [ABSTRACT FROM AUTHOR]
ISSN:18360947
DOI:10.1071/CP23318