Agrometeorological models for estimating sweet cassava yield

Abstract

Brazil is the fourth largest producer of cassava in the world, with climate conditions being the main factor regulating its production. This study aimed to develop agrometeorological models to estimate the sweet cassava yield for the São Paulo state, as well as to identify which climatic variables have more influence on yield. The models were built with multiple linear regression and classified by the following statistical indexes: lower mean absolute percentage error, higher adjusted determination coefficient and significance (p-value < 0.05). It was observed that the mean air temperature has a great influence on the sweet cassava yield during the whole cycle for all regions in the state. Water deficit and soil water storage were the most influential variables at the beginning and final stages. The models accuracy ranged in 3.11 %, 6.40 %, 6.77 % and 7.15 %, respectively for Registro, Mogi Mirim, Assis and Jaboticabal.

Efeitos da temperatura, precipitação pluviométrica e estiagens sobre parâmetros de produtividade da mandioca no litoral sul de Santa Catarina, Brasil

“…Portanto, diferentes variedades de mandioca respondem de maneira diferente à temperatura (GABRIEL et al, 2014). Moreto et al (2018), ao desenvolverem modelos de estimativa de produtividade da mandioca para o Estado de São Paulo, verificaram que, em dois dos quatro municípios estudados, a relação da produtividade com a temperatura média foi inversa, de maneira análoga ao presente trabalho.…”

Zonificación edafoclimática de la yuca (Manihot esculenta Crantz) para la producción sostenible de bioproductos

“…La temperatura media, se considera la variable de mayor importancia meteorológica que afecta el desarrollo del cultivo (Streck, 2002;Moreto et al, 2018). De lo anterior, el rango de aptitud óptima 20 a 29°C se distribuyó en 6,257,382 ha, principalmente en la planicie veracruzana, cual representó un 85.93% del territorio.…”

Probability of rainfall for the city of Cruzeiro do Sul, Acre, Brazil

“…Therefore, previous knowledge about the behavior of the rainfall regime in a particular region is of fundamental importance for agricultural planning, because the success of activities involving the sector is directly linked to the occurrence and magnitude of rainfall (Arai et al, 2009;Souza et al, 2018). Cassava crop, for example, of which Brazil is the fourth largest producer in the world, demands climatic conditions as a regulatory factor of its production, especially concerning the precipitation regime, which requires effective management of soil and drainage conditions (Martins et al, 2010;Soman et al, 2016;Moreto et al, 2018).…”

“…Given the importance of rainfall, especially in a regional context, the need to quantify and/or predict its occurrences has become an essential condition for the development of agricultural activities, besides many other productive segments. Thus, scientific and technological advances allowed the creation of efficient instruments aiming at this purpose, especially those proposed taking into consideration the basic characteristic of randomness present in the occurrence of these phenomena (Moreto et al, 2018;Bortoluzzi et al, 2019).…”