RB036091 - an early-maturing sugarcane cultivar for the Central South of Brazil

Berton, Guilherme Souza; Oliveira, Ricardo Augusto de; Daros, Edelclaiton; Zambon, José Luis Camargo; Filho, João Carlos Bespalhok; Brasileiro, Bruno Portela; Ido, Oswaldo Teruyo; Ruaro, Lucimeris; Weber, Heroldo

doi:10.1590/1984-70332020v20n2c25

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…The Experimental Station of the Sugarcane Genetic Improvement at the Federal University of Paraná, in collaboration with the Inter-University Network for the Development of Sugarcane Energy, annually conducts numerous studies aimed at genetic improvement and productivity of sugarcane [10,11]. The results obtained in the experiments developed at this Experimental Station are a reference for numerous agricultural planning activities in the northwest region of Paraná state in southern Brazil.…”

Section: Introductionmentioning

confidence: 99%

Water Dynamics and Hydraulic Functions in Sandy Soils: Limitations to Sugarcane Cultivation in Southern Brazil

et al. 2023

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Crop cultivation on sandy soils is susceptible to water stress. Therefore, we determined the physical-hydric attributes of a Latossolo Vermelho distrófico (Oxisol) in northwestern Paraná state, Brazil. Soil samples were collected at depth ranges of 0 to 0.2 m, 0.2 to 0.4 m, and 0.4 to 0.6 m. We measured clay, silt, sand, fine and coarse sand contents, soil particle density, soil bulk density, total porosity, microporosity, and macroporosity. We also measured soil characteristics such as saturated and unsaturated soil hydraulic conductivities, pore distribution, water retention, available water capacity, and easily available water. We also estimated soil moisture, matric potential at field capacity, and time at field capacity. Validation of associations among these soil physical-hydric attributes was performed using principal component analysis. For the sandy soils analyzed, the distributions of coarse and fine sand fractions were measured for better evaluation of the soil’s physical and hydric attributes. Higher coarse sand contents increased soil hydraulic conductivities, maximum pore diameter, and macroporosity while reducing microporosity. Fine sand content reduced conductivity and increased soil water retention in subsurface layers. Simulated sugarcane yield increased with soil water storage. These results support improving crop simulation modeling of sugarcane to support sustainable intensification in regions with sandy soils.

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Section: Introductionmentioning

confidence: 99%

Water Dynamics and Hydraulic Functions in Sandy Soils: Limitations to Sugarcane Cultivation in Southern Brazil

et al. 2023

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“…Several researchers have sought to improve the genetics and productivity of sugarcane at the Experimental Station of the Sugarcane Genetic Improvement Program (PMG-CA) at the Federal University of Paraná (UFPR) as well as at the Interuniversity Network for the Development of Sugarcane Energy (RISESA) in Brazil [14,15]. Obtaining information on sugarcane yield in relation to soil and climate variables in long-term experiments can support sustainable agricultural management practices to ensure the growth, development, and production of sugarcane.…”

Section: Introductionmentioning

confidence: 99%

Estimating Sugarcane Yield in a Subtropical Climate Using Climatic Variables and Soil Water Storage

et al. 2023

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Brazil is the largest producer of sugarcane (Saccharum spp.) in the world, and this crop’s response to climate and soil water storage is essential for optimal management and genetic/yield improvements. The objective of our study was to build a multivariate model to estimate sugarcane yield in the subtropical conditions of the northwestern Paraná region using climatic and soil water storage variables. Observed yield data was used from experiments conducted at the Experimental Station of the Sugarcane Genetic Improvement Program of the Universidade Federal do Paraná. The sugarcane varieties RB72454, RB867515, RB966928, and RB036066 were analyzed in the 1998–2006, 2008, 2018 and 2019 harvest years. Stepwise multiple linear regression analysis with repeated cross-validation was developed to estimate sugarcane yield given climate and soil water storage variables for crop growth phases. The accumulated degree days in Phases I and II and soil water storage in Phase II of development significantly impacted sugarcane yield. The multiple linear regression model, with accumulated degree days and soil water storage in Phases I and II of development, successfully predicted sugarcane yield for analyzed varieties. Sugarcane production models like the one we developed can improve crop management for greater sustainability and climate change adaption in Brazil and other areas.

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“…The Sugarcane Breeding Program of the Federal University of Alagoas (PMGCA/UFAL) is part of the Inter-University Network for the Development of the Sugarcane Industry (RIDESA), i.e., an association of 10 Federal Universities that develop new improved sugarcane varieties in Brazil (Berton et al 2020, Carneiro et al 2020. This agreement allows the Universities to share the Flowering and Crossing Station of Serra do Ouro (Daros et al 2017, Daros et al 2018, Carneiro et al 2019, Diniz et al 2019.…”

Section: Introductionmentioning

confidence: 99%