Zobrazeno 1 - 10
of 1 984
pro vyhledávání: '"S. Fritz"'
Autor:
S. Fresco, A. Vanlierde, D. Boichard, R. Lefebvre, M. Gaborit, R. Bore, S. Fritz, N. Gengler, P. Martin
Publikováno v:
Animal, Vol 18, Iss 7, Pp 101200- (2024)
Predicting methane (CH4) emission from milk mid-infrared (MIR) spectra provides large amounts of data which is necessary for genomic selection. Recent prediction equations were developed using the GreenFeed system, which required averaging multiple C
Externí odkaz:
https://doaj.org/article/95b4dc4751384fd0a4ff8d4116f46cb7
Autor:
K. Van Tricht, J. Degerickx, S. Gilliams, D. Zanaga, M. Battude, A. Grosu, J. Brombacher, M. Lesiv, J. C. L. Bayas, S. Karanam, S. Fritz, I. Becker-Reshef, B. Franch, B. Mollà-Bononad, H. Boogaard, A. K. Pratihast, B. Koetz, Z. Szantoi
Publikováno v:
Earth System Science Data, Vol 15, Pp 5491-5515 (2023)
The challenge of global food security in the face of population growth, conflict, and climate change requires a comprehensive understanding of cropped areas, irrigation practices, and the distribution of major commodity crops like maize and wheat. Ho
Externí odkaz:
https://doaj.org/article/152f0b84571e4decba26418cddd66e99
Publikováno v:
Animal, Vol 18, Iss 3, Pp 101110- (2024)
The environmental impact of dairy production can be reduced in several ways, including increasing feed efficiency and reducing methane (CH4) emissions. There is no consensus on their relationship. This study aimed at estimating the correlations betwe
Externí odkaz:
https://doaj.org/article/fb8f6968c10d4d55ab756ef5cf30f240
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 6, Pp 4147-4157 (2023)
ABSTRACT: Genetic selection to reduce methane (CH4) emissions from dairy cows is an attractive means of reducing the impact of agricultural production on climate change. In this study, we investigated the feasibility of such an approach by characteri
Externí odkaz:
https://doaj.org/article/9202bf74783c4879a933eedfc87644bb
Publikováno v:
Journal of Dairy Science, Vol 105, Iss 6, Pp 5206-5220 (2022)
ABSTRACT: As part of the From'MIR project, traits related to the composition and cheese-making properties (CMP) of milk were predicted from 6.6 million mid-infrared spectra taken from 410,622 Montbéliarde cows (19,862 with genotypes). Genome-wide as
Externí odkaz:
https://doaj.org/article/254d1821a6f647968d7073f932c94167
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 5781-5798 (2020)
Citizen observatories are a relatively recent form of citizen science. As part of the flood risk management strategy of the Brenta-Bacchiglione catchment, a citizen observatory for flood risk management has been proposed and is currently being implem
Externí odkaz:
https://doaj.org/article/7616f473dad140758c11693421315206
Autor:
Q. Yu, L. You, U. Wood-Sichra, Y. Ru, A. K. B. Joglekar, S. Fritz, W. Xiong, M. Lu, W. Wu, P. Yang
Publikováno v:
Earth System Science Data, Vol 12, Pp 3545-3572 (2020)
Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns; thus they are less informative for subsequent spatially explicit agricultural and environmenta
Externí odkaz:
https://doaj.org/article/9a73be1a1e89419a8af82bec35a3b195
Publikováno v:
Earth System Science Data, Vol 12, Pp 1913-1928 (2020)
Information on global cropland distribution and agricultural production is critical for the world's agricultural monitoring and food security. We present datasets of cropland extent and agricultural production in a two-paper series of a cultivated pl
Externí odkaz:
https://doaj.org/article/a7e38f853b5641dd83931775a28d3667
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 669-674 (2020)
Traditionally the accuracy assessment of a hard raster-based land use land cover (LULC) map uses a reference data set that contains one LULC class per pixel, which is the class that has the largest area in each pixel. However, when mixed pixels exist
Externí odkaz:
https://doaj.org/article/d4f8ad5cc4c1489ca33c4605f03b7488
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 1213-1220 (2019)
The aim of this paper is to perform a preliminary analysis of the compatibility and quality of the available time series of land cover data available for continental Portugal, in particular, Climate Change Initiative Land Cover maps, which are availa
Externí odkaz:
https://doaj.org/article/c49ddcb517f6449a9c6ec6a0884f4e1c