- Floristic classifications and bioregionalizations are not predictors of intra-specific evolutionary patterns. You can’t use spatial structures in interspecific diversity to predict spatial structure in instraspecific diversity. Gotta do the hard work, there are no shortcuts.
- Intraspecific trait variability in wild plant populations predicts neither variability nor performance in a common garden. You can’t use intraspecific diversity in wild populations to predict how those populations will do elsewhere. Gotta do the hard work, there are no shortcuts.
- Farming for the future: Understanding factors enabling the adoption of diversified farming systems. Access to extension services, strong social networks, and perceived environmental benefits contribute to the diversification of farming systems, but their effects are context-specific. So yeah, you guessed it, you still gotta do the hard work.
- Changes in Plant Genetic Resources in the Southeast Region of Poland from the 1980s to 2023. I wonder which one(s) of the above has been missing in the Lubelskie Voivodeship.
- Abundant Genetic Diversity Harbored by Traditional Naked Barley Varieties on Tibetan Plateau: Implications in Their Effective Conservation and Utilization. I wonder which one(s) of the above has been most effective in the Tibetan Plateau.
- Genetic diversity in in situ and ex situ collections of sorghum [Sorghum bicolor (L.) Moench] landraces. I wonder which one(s) of the above has been most effective in norther Karnataka.
- Enhancing food security amid climate change through rewilding and de novo domestication. Sounds like hard work. But worth doing.
- Characteristics of the ET, a new species created by interspecific hybridization of two wild eggplants. Sounds like hard work. But worth doing?
- Painting the diversity of a world’s favorite fruit: A next generation catalog of cultivated bananas. Chromosome painting, that is. Definitely worth doing.
- Delineation of selection efficiency and coincidence of multi-trait-based models in a global germplasm collection of pearl millet for a comprehensive assessment of stability and high performing genotypes. Stable AND high-yielding? Sounds like the hard work has been done.
- Chromosome-scale reference genome of an ancient landrace: unveiling the genetic basis of seed weight in the food legume crop pigeonpea (Cajanus cajan). Now for the hard work…
- A chromosome-scale reference genome of grasspea (Lathyrus sativus). Now for the even harder work…
- Assessment of genetic diversity, inbreeding, and collection completeness of Jersey bulls in the US National Animal Germplasm Program. I suspect it will be hard work, but don’t forget the low merit bulls. And that probably goes for plants too.
