Early root architectural traits and their relationship with yield in Ipomoea batatas L.
Duque, L. O.; Hoffmann, G.; Pecota, K. V.; Yencho, C.
Show abstract
Root system architecture in storage root crops are an important component of plant growth and yield performance that has received little attention by researchers because of the inherent difficulties posed by in-situ root observation. Sweetpotato (Ipomoea batatas L.) is an important climate-resilient storage root crop of worldwide importance for both tropical and temperate regions, and identifying genotypes with advantageous root phenotypes and improved root architecture to facilitate breeding for improved storage root yield and quality characteristics in both high and low input scenarios would be beneficial. We evaluated 38 diverse sweetpotato genotypes for early root architectural traits and correlated a subset of these with storage root yield. Early root architectural traits were scanned and digitized using the RhizoVision Explorer software system. Significant genotypic variation was detected for all early root traits including root mass, total root length, root volume, root area and root length by diameter classes. Based on the values of total root length, we separated the 38 genotypes into three root sizes (small, medium, and large). Principal component analysis identified four clusters, primarily defined by shoot mass, root volume, root area, root mass, total root length and root length by diameter class. Average total and marketable yield and number of storage roots, was assessed on a subset of eight genotypes in the field. Several early root traits were positively correlated with total yield, marketable yield, and number of storage roots. These results suggest that root traits, particularly total root length and root mass could improve yield potential and should be incorporated into sweetpotato ideotypes. To help increase sweetpotato performance in challenging environments, breeding efforts may benefit through the incorporation of early root phenotyping using the idea of integrated root phenotypes.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Does late water deficit induce root growth or senescence in wheat? 96%
- Photoperiodic Flowering Response of Essential Oil, Grain, and Fiber Hemp (Cannabis sativa L.) Cultivars 96%
- Multi-location trials and population-based genotyping reveal high diversity and adaptation to breeding environments in a large collection of red clover 95%
Similar papers in this journal
- Impacts of environmental factors on seed germination and seedling emergence of white clover (Trifolium repens L.) 96%
- Variation in root system architecture among the founder parents of two 8-way MAGIC wheat populations for selection in breeding 94%
- Development Of A Soybean Maturity Prediction Model For Soybean Grown In African Environments 94%
Similar papers in this journal
Similar papers in this journal
- Brassinosteroids Promote Parenchyma Cell and Secondary Xylem Development in Sugar Beet (Beta vulgaris L.) Root 94%
- Non-destructive, whole-plant phenotyping reveals dynamic changes in water use efficiency, photosynthesis efficiency, and rhizosphere acidification of sorghum accessions under osmotic stress 94%
- Nodal root diameter and node number in maize (Zea mays L.) interact to influence plant growth under nitrogen stress 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.