Joost van Heerwaarden

Biochemistry, Genetics and Molecular Biology · Life Sciences

25h-index4.0kcitations79works2.82yr avg
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Research Topics

Genetic Mapping and Diversity in Plants and Animals(18), Agronomic Practices and Intercropping Systems(14), Genetic diversity and population structure(12), Genetic and phenotypic traits in livestock(11), Legume Nitrogen Fixing Symbiosis(11)

Publications79 total

Estimating on-farm genotypic performance and variability using ranking data
2026
Hierarchical Causal Structure Learning
ArXiv.org·2025Open Access
Accuracy of farmer-generated yield estimations of common bean in decentralised on-farm trials in sub–Saharan Africa
European Journal of Agronomy·2025· 3 citedOpen Access
Citizen science informs demand‐driven breeding of opportunity crops
Plants People Planet·2025· 3 citedOpen Access
Joint Learning from Heterogeneous Rank Data
SSRN Electronic Journal·2025Open Access
Deriving fertiliser recommendations for cocoa: An offtake model approach
European Journal of Agronomy·2024· 3 citedOpen Access
People, Palms, and Productivity: Testing Better Management Practices in Indonesian Smallholder Oil Palm Plantations
Agriculture·2024· 2 citedOpen Access
Multi-Attribute Preferences: A Transfer Learning Approach
arXiv (Cornell University)·2024Open Access
Citizen science informs demand-driven breeding of opportunity crops
2024· 2 citedOpen Access
Joint Learning from Heterogeneous Rank Data
arXiv (Cornell University)·2024· 1 citedOpen Access
What shapes yields of East African Highland banana? An explorative study from farmers’ fields
European Journal of Agronomy·2024· 1 citedOpen Access
The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective
Agronomy for Sustainable Development·2024· 24 citedOpen Access
Copula Graphical Models for Heterogeneous Mixed Data
Socio-Environmental Systems Modeling·2024Open Access
Deriving Fertiliser Recommendations for Cocoa: An Offtake Model Approach
SSRN Electronic Journal·2024Open Access
A Spatial Autoregressive Graphical Model with Applications in Intercropping
arXiv (Cornell University)·2023Open Access
Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy
Field Crops Research·2023· 23 citedOpen Access
Consistency, variability, and predictability of on-farm nutrient responses in four grain legumes across East and West Africa
Field Crops Research·2023· 8 citedOpen Access
Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products
Proceedings of the National Academy of Sciences·2023· 38 citedOpen Access
Using copula graphical models to detect the impact of drought stress on maize and wheat yield
in silico Plants·2023· 2 citedOpen Access
Copula Graphical Models for Heterogeneous Mixed Data
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

K.E. Giller(14), Fred A. van Eeuwijk(7), Endalkachew Wolde‐meskel(7), Jeffrey Ross‐Ibarra(6), Bernard Vanlauwe(5), Tulu Degefu(5), Matthew B. Hufford(4), Thomas Odong(4), Fikret Işik(4), Christophe Plomion(4), Laurent Bouffier(4), Jacob van Etten(4), Kauê de Sousa(4), Ashenafi Hailu Gunnabo(4), René Geurts(4), Jeffrey C. Glaubitz(3), John Doebley(3), E. Ronner(3), A.C. Franke(3), Elena Álvarez‐Buylla(3)