ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026
Minor QTLs and the temperature during the grain filling stage contributed to the considerable variation in rice eating and cooking quality.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Eating and cooking quality (ECQ) in rice is significantly associated with the temperature during the grain filling stage. Besides major genes, minor QTLs also benefit the improvement of ECQ. To identify minor QTLs for ECQ and evaluate environment effects and QTL by environment interactions (QEIs), a RIL population fixed for Waxy and ALK was grown in three environments: the early season (E1) and the late season (E2) in Nanning, and the middle season in Wuhan (E3). The average daily and nighttime temperatures during the grain filling stage were 28.8 °C and 27.3 °C in E1, 23.4 °C and 22.3 °C in E2, and 28.0 °C and 25.5 °C in E3. Eight ECQ traits were measured in three environments. The comparison of ECQs between E1 and E3, which shared similar high daily temperatures but varied average nighttime temperatures, suggested that high nighttime temperatures may exert a more significant impact on ECQ. Genetic effects, environmental effects, and their interactions each account for substantial phenotype variance of eight traits except for cool paste viscosity (CPV). A total of 40 minor QTLs for ECQ were identified across the three individual environments, but only two QTLs were commonly detected in two environments, indicating a large proportion of minor QTLs are environment-dependent. The G by E model identified 21 QTLs, with eight QTLs involved in QEIs. Most QEIs exhibited the largest positive effects in E2, indicating a favorable environment for ECQ. Furthermore, the most significant QTL for amylose content, qAC9, was validated with a BC
Indexed as
Identifiers
41922792What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.