Skip to Content 1
Ir para o menu 2
Ir para a busca 3

Portal Embrapa

Language Language

português English
Entrar

Search Publications

Sort by: date | alphabetically


Predictive models to estimate carbon stocks in agroforestry systems. Abstract: This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which co... ... Repository: BDPA Publication year: 2021
Use of infrared thermography for predicting the infectious etiology of subclinical bovine mastitis in a robotic milking system using machine learning. This study assessed the potential of infrared thermography for predicting bacterial pathogens causing subelinical mastitis in pasture-raised cows using machine leaming techniques in an automatic milki... ... Repository: BDPA Publication year: 2024
Phenotyping root systems in a set of japonica rice accessions: can structural traits predict the response to drought? Background: The root system plays a major role in plant growth and development and root system architecture is reported to be the main trait related to plant adaptation to drought. However, phenotypin... ... Repository: BDPA Publication year: 2020
Does plant functional diversity predict litter quality in silvipastoral systems? Aboveground litter quality has an important function in enhancing soil quality by transferring organic matter and nutrients to the soil, which in turn may affect nutrient cycling. Repository: BDPA Publication year: 2024
Predicting soil organic carbon dynamics of integrated crop-livestock system in Brazil using the CQESTR model. Land degradation and reduction in productivity have resulted in losses of soil organic carbon (SOC) in agricultural areas in Brazil. Our objectives were to 1) evaluate the predictive performance of CQ... ... Repository: BDPA Publication year: 2022
Prediction of soil CO2 flux in sugarcane management systems using the Random Forest approach. ABSTRACT: The Random Forest algorithm is a data mining technique used for classifying attributes in order of importance to explain the variation in an attribute-target, as soil CO2 flux. This study ai... ... Repository: BDPA Publication year: 2018
Evaluation of the Cornell Net Carbohydrate and Protein System model on the prediction of dry matter intake and milk production of grazing crossbred cows. The Cornel Net Carbohydrate and Protein System model version 5.0 was assessed as for its prediction of dry matter intake and milk production of grazing lactating Holstein × Zebu cows. Eight lactating... ... Repository: BDPA Publication year: 2012
Prediction of voluntary intake and enteric methane emission by dairy heifers in integrated systems. Para comparar as predições de ingestão de matéria seca (IMS) e emissões de metano entérico (CH4) nos sistemas integrados de lavoura-pecuária (ILP) e lavoura-pecuária-floresta (ILPF), foi realizado um... ... Repository: BDPA Publication year: 2023
Predicting carbon dynamics in integrated production systems in Brazil using the CQESTR model. The CQESTR model was used to examine the effect of different soil management practices, including integrated crop-livestock system (iCLS), and various scenarios on soil C dynamics over time and to val... ... Repository: BDPA Publication year: 2015
Comparative analysis of the enteric methane correction factor (Ym) as influential in the prediction of mathematical modeling of emission in beef cattle production systems. This study aimed to calculate the Ym value (data review) more consistent with the reality of Brazilian livestock and compare it with the values estimated by the IPCC Guidelines for national greenhouse... ... Repository: BDPA Publication year: 2022

Showing 1 - 10 of 1,362 results.

Observation

Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.

Access other publications

Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.