Detalhe da pesquisa
1.
Predicting CO2 production of lactating dairy cows from animal, dietary, and production traits using an international dataset.
J Dairy Sci
; 2024 May 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-38754833
2.
Reducing enteric methane emissions from dairy cattle: Two ways to supplement 3-nitrooxypropanol.
J Dairy Sci
; 102(2): 1780-1787, 2019 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-30594370
3.
Symposium review: Uncertainties in enteric methane inventories, measurement techniques, and prediction models.
J Dairy Sci
; 101(7): 6655-6674, 2018 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-29680642
4.
The effect of maize silage type on the performances and methane emission of dairy cattle.
J Anim Physiol Anim Nutr (Berl)
; 101(5): e246-e256, 2017 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-27868257
5.
Application of biochar to anaerobic digestion versus digestate: Effects on N emissions and C stability.
Sci Total Environ
; 915: 170124, 2024 Mar 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-38232844
6.
Screening tests for N sorption allow to select and engineer biochars for N mitigation during biomass processing.
Waste Manag
; 155: 230-239, 2023 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36399850
7.
Biochar amendment to cattle slurry reduces NH3 emissions during storage without risk of higher NH3 emissions after soil application of the solid fraction.
Waste Manag
; 167: 39-45, 2023 Jul 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-37244007
8.
Two novel proteins expressed by the venom glands of Apis mellifera and Nasonia vitripennis share an ancient C1q-like domain.
Insect Mol Biol
; 19 Suppl 1: 1-10, 2010 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-20167013
9.
Predictions of methane emission levels and categories based on milk fatty acid profiles from dairy cows.
Animal
; 11(7): 1153-1162, 2017 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-27974080
10.
Genomic and transcriptional analysis of protein heterogeneity of the honeybee venom allergen Api m 6.
Insect Mol Biol
; 15(5): 577-81, 2006 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-17069633