Characterization of a wheat stable QTL for spike length and its genetic effects on yield-related traits.

Spike length (SL) is one of the most important agronomic traits affecting yield potential and stability in wheat. In this study, a major stable quantitative trait locus (QTL) for SL, i.e.

Quantitative trait loci detection for three tiller-related traits and the effects on wheat (Triticum aestivum L.) yields.

A total of 38 putative additive QTLs and 55 pairwise putative epistatic QTLs for tiller-related traits were reported, and the candidate genes underlying qMtn-KJ-5D, a novel major and stable QTL for maximum tiller number, were characterized. Tiller-related traits play an important role in determining the yield potential of wheat. Therefore, it is important to elucidate the genetic basis for tiller number when attempting to use genetic improvement as a tool for enhancing wheat yields.

Fine mapping of a major QTL, qKl-1BL controlling kernel length in common wheat.

A major stable QTL, qKl-1BL, for kernel length of wheat was narrowed down to a 2.04-Mb interval on chromosome 1BL; the candidate genes were predicated and the genetic effects on yield-related traits were characterized. As a key factor influencing kernel weight, wheat kernel shape is closely related to yield formation, and in turn affects both wheat processing quality and market value.

Characterization and fine mapping analysis of a major stable QTL qKnps-4A for kernel number per spike in wheat.

A major stable QTL for kernel number per spike was narrowed down to a 2.19-Mb region containing two potential candidate genes, and its effects on yield-related traits were characterized. Kernel number per spike (KNPS) in wheat is a key yield component.

[Relationship between sulfur dioxide pollution and upper respiratory outpatients in Jiangbei, Ningbo].

Objective: To describe the daily average concentration of sulfur dioxide (SO2) in Ningbo, and to analysis the health impacts it caused in upper respiratory disease.

Methods: With outpatients log and air pollutants monitoring data matched in 2011-2013, the distributed lag non-linear models were used to analysis the relative risk of the number of upper respiratory patients associated with SO2, and also excessive risk, and the inferred number of patients due to SO2 pollution.

Results: The daily average concentration of SO2 didn't exceed the limit value of second class area.

Incidences, types, and influencing factors of snow disaster-associated injuries in Ningbo, China, 2008.

Objective: The incidence, types, and influencing factors of injuries due to snow-ice disasters are essential for public health preparedness. This study was designed to assess such factors of injuries during the 22-day snowstorm in Ningbo, Zhejiang Province, China, in 2008.

Methods: A multistage cluster probability sampling method was applied to select the study population in urban, rural, and mountainous areas.