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Rients E. Niks

Researcher at Wageningen University and Research Centre

Publications -  146
Citations -  6011

Rients E. Niks is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Puccinia hordei & Plant disease resistance. The author has an hindex of 41, co-authored 146 publications receiving 5597 citations. Previous affiliations of Rients E. Niks include Spanish National Research Council.

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Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars.

TL;DR: The results indicate that association mapping approaches can be a viable alternative to classical QTL approaches based on crosses between inbred lines, especially for complex traits with costly measurements.
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A high density barley microsatellite consensus map with 775 SSR loci

TL;DR: A high-density consensus SSR map of barley provides barley molecular breeding programmes with a better choice regarding the quality of markers and a higher probability of polymorphic markers in an important chromosomal interval and offers the possibilities of thorough alignment for the (future) physical map and implementation in haplotype diversity studies of barley.
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Identification of QTLs for partial resistance to leaf rust (Puccinia hordei ) in barley

TL;DR: In this article, quantitative trait loci (QTLs) for partial resistance to leaf rust were mapped using the Multiple Interval Mapping (MIM) method with the putative QTL markers as cofactors.
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Potentially durable resistance mechanisms in plants to specialised fungal pathogens

TL;DR: Several cases of apparently durable resistance are discussed that are based on failure of haustorium formation, and are not associated with hypersensitivity, that may represent cases where the pathogen has problems in establishing basic compatibility.
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A high-density consensus map of barley to compare the distribution of QTLs for partial resistance to Puccinia hordei and of defence gene homologues

TL;DR: A consensus map of barley was constructed based on three reference doubled haploid (DH) populations and three recombinant inbred line (RIL) populations using several sets of microsatellites used as bridge markers in the integration of those populations previously genotyped with RFLP or with AFLP markers.