Pasture potential and subsequent production of energy crops

• Grant number: 17/08970-0
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: August 01, 2017
• End date: February 28, 2022
• Field of knowledge: Agronomical Sciences - Agronomy - Agricultural Meteorology
• Principal Investigator: John Joseph Sheehan
• Grantee: Leonardo Amaral Monteiro
• Host Institution: Faculdade de Engenharia Agrícola (FEAGRI). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 14/26767-9 - Global Sustainable Bioenergy Initiative: geospatial & environmental analysis of pastureland intensification for bioenergy, AP.SPEC
• Associated scholarship(s): 19/12030-8 - Impact of soil parameters and climate change scenarios on the global yield gap pasturelands: a binning approach, BE.EP.PD

Abstract

In this post doc will be evaluate the impact of key geophysical factors on analysis of pasture performance gaps and intensification potential using climate binning. Overview. A key goal of pasture analysis is to evaluate the extent to which management factors can have the potential to increase yield. By binning land for which annual precipitation and degree days vary over only a small range, the climate binning approach takes into account the impact of these variables on yield. However, additional factors beyond the control of the land manager may also impact yield. Three such factors will be examined: soil, seasonal variability ofprecipitation, and climate change.

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MONTEIRO, LEONARDO A.; ALLEE, ANDREW M.; CAMPBELL, ELEANOR E.; LYND, LEE R.; SOARES, JOHNNY R.; JAISWAL, DEEPAK; DE CASTRO OLIVEIRA, JULIANNE; DOS SANTOS VIANNA, MURILO; MORISHIGE, ASHLEY E.; FIGUEIREDO, GLEYCE K. D. A.; et al. Assessment of yield gaps on global grazed-only permanent pasture using climate binning. GLOBAL CHANGE BIOLOGY, v. 26, n. 3, JAN 2020. (17/08970-0, 16/08742-4, 16/20307-1, 18/11052-5, 17/25023-4, 17/06037-4, 16/08741-8, 14/26767-9)

OLIVEIRA, JULIANNE; CAMPBELL, ELEANOR E.; LAMPARELLI, RUBENS A. C.; FIGUEIREDO, GLEYCE K. D. A.; SOARES, JOHNNY R.; JAISWAL, DEEPAK; MONTEIRO, LEONARDO A.; VIANNA, MURILO S.; LYND, LEE R.; SHEEHAN, JOHN J.. Choosing pasture maps: An assessment of pasture land classification definitions and a case study of Brazil. International Journal of Applied Earth Observation and Geoinformation, v. 93, DEC 2020. (17/08970-0, 17/06037-4, 14/26767-9, 18/11052-5, 16/08741-8)

SOARES, JOHNNY R.; SOUZA, BRUNA R.; MAZZETTO, ANDRE M.; GALDOS, MARCELO V.; CHADWICK, DAVE R.; CAMPBELL, ELEANOR E.; JAISWAL, DEEPAK; OLIVEIRA, JULIANNE C.; MONTEIRO, LEONARDO A.; VIANNA, MURILO S.; et al. Mitigation of nitrous oxide emissions in grazing systems through nitrification inhibitors: a meta-analysis. NUTRIENT CYCLING IN AGROECOSYSTEMS, v. N/A, p. 19-pg., 2023-01-28. (17/08970-0, 19/15819-1, 16/08741-8, 19/14333-8, 18/11052-5, 14/26767-9, 17/06037-4, 16/08742-4, 18/10432-9)

MONTEIRO, LEONARDO A.; RAMOS, RAFAEL M.; BATTISTI, RAFAEL; SOARES, JOHNNY R.; OLIVEIRA, JULIANNE C.; FIGUEIREDO, GLEYCE K. D. A.; LAMPARELLI, RUBENS A. C.; NENDEL, CLAAS; LANA, MARCOS ALBERTO. Potential Use of Data-Driven Models to Estimate and Predict Soybean Yields at National Scale in Brazil. INTERNATIONAL JOURNAL OF PLANT PRODUCTION, v. 16, n. 4, p. 13-pg., 2022-09-07. (14/26767-9, 17/08970-0)