Stay green trait in grain sorghum: relationship between visual rating and leaf chlorophyll concentration
By W. Xu, D. Rosenow, H. T. Nguyen. 2000
203 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Plant Science
View Paper: https://www.semanticscholar.org/paper/ff190b83f91305ff38bfde70dd1ddce7de93d235
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
In Plant Science
- J. Lynch
- K. Brown
- Kadambot H. M. Siddique
- Shawn M. Kaeppler
- Muhammad Farooq
- Samuel Trachsel
- C. T. Hash
- M. S. Kuruvinashetti
Citations in the corpus
- Modeling and mapping QTL for senescence-related traits in winter wheat under high temperature (2010, background): “In many crop species, stay-green plants have better quality of foliage, higher chlorophyll content, and greater resistance to pests and diseases (Ambler et al. 1987; Thomas and Smart 1993; Xu et al. 2000a).”
- Shovelomics: high throughput phenotyping of maize (Zea mays L.) root architecture in the field (2011, methodology): “For example, visual scoring has been used to monitor stay-green in sorghum (Xu et al. 2000), onset of senescence (Thomas and Howarth 2000), disease monitoring in barley (Hill et al. 2008), for the quantification of leaf retention in cassava to select towards desiccation tolerance (Lenis et al.…”
- Heat Stress in Wheat during Reproductive and Grain-Filling Phases (2011, background): “A visual rating of stay-green is quick and easy way for the plant breeders to screen on mass scale (Xu et al., 2000).”
- Stay-green expression in early generation sorghum [Sorghum bicolor (L.) Moench] QTL introgression lines (2010, background): “Similar results were reported by Xu et al. (2000a) , where B35 showed a much higher chlorophyll content (40.1%) than that of the senescent parent Tx7000 (16.2%) at physiological maturity.”
- Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings (2007, background): “All three species investigated in this study had nonlinear SPAD–[chl] relationships with increasing slope with increasing SPAD (Fig. 1). Most studies in the literature that quantify the relationship between [chl] and SPAD values employ linear regression (Yadava 1986; Marquard and Tipton 1987; Dwyer ”