ABSTRACT
BACKGROUND AND AIMS: Potassium (K) fertilizers are used in intensive and extensive agricultural systems to maximize production. However, there are both financial and environmental costs to K-fertilization. It is therefore important to optimize the efficiency with which K-fertilizers are used. Cultivating crops that acquire and/or utilize K more effectively can reduce the use of K-fertilizers. The aim of the present study was to determine the genetic factors affecting K utilization efficiency (KUtE), defined as the reciprocal of shoot K concentration (1/[K](shoot)), and K acquisition efficiency (KUpE), defined as shoot K content, in Brassica oleracea. METHODS: Genetic variation in [K](shoot) was estimated using a structured diversity foundation set (DFS) of 376 accessions and in 74 commercial genotypes grown in glasshouse and field experiments that included phosphorus (P) supply as a treatment factor. Chromosomal quantitative trait loci (QTL) associated with [K](shoot) and KUpE were identified using a genetic mapping population grown in the glasshouse and field. Putative QTL were tested using recurrent backcross substitution lines in the glasshouse. KEY RESULTS: More than two-fold variation in [K](shoot) was observed among DFS accessions grown in the glasshouse, a significant proportion of which could be attributed to genetic factors. Several QTL associated with [K](shoot) were identified, which, despite a significant correlation in [K](shoot) among genotypes grown in the glasshouse and field, differed between these two environments. A QTL associated with [K](shoot) in glasshouse-grown plants (chromosome C7 at 62.2 cM) was confirmed using substitution lines. This QTL corresponds to a segment of arabidopsis chromosome 4 containing genes encoding the K+ transporters AtKUP9, AtAKT2, AtKAT2 and AtTPK3. CONCLUSIONS: There is sufficient genetic variation in B. oleracea to breed for both KUtE and KUpE. However, as QTL associated with these traits differ between glasshouse and field environments, marker-assisted breeding programmes must consider carefully the conditions under which the crop will be grown.
Subject(s)
Brassica/genetics , Brassica/metabolism , Potassium/metabolism , Quantitative Trait Loci/geneticsABSTRACT
OBJECTIVE: To assess the association of objective measures of sleep-wake patterns and psychological status and abuse history of children hospitalized in a psychiatric inpatient unit. METHOD: Thirty-nine inpatient children participated in the study. They were monitored for one to three consecutive nights with miniature wrist activity monitors for objective assessment of sleep-wake patterns. In addition, a thorough psychiatric and psychosocial assessment was completed with each child and the parents. RESULTS: Children's self-ratings of depression, hopelessness, and low self-esteem were significantly correlated with objective sleep measures indicating poorer sleep quality. No significant correlations between intelligence scores and sleep measures were found. Nonabused and sexually abused children had better sleep quality than physically abused children. CONCLUSIONS: Sleep quality during hospitalization is strongly associated with self experiences of depression, hopelessness, and low self-esteem in children with severe behavior disorders.
Subject(s)
Affective Symptoms/psychology , Child Behavior Disorders/psychology , Patient Admission , Sleep Wake Disorders/psychology , Adolescent , Affective Symptoms/diagnosis , Child , Child Abuse/diagnosis , Child Abuse/psychology , Child Abuse, Sexual/diagnosis , Child Abuse, Sexual/psychology , Child Behavior Disorders/diagnosis , Circadian Rhythm , Female , Humans , Male , Motivation , Self Concept , Sleep Wake Disorders/diagnosis , WakefulnessABSTRACT
A systematic review of medical records of one hundred consecutive admissions to a children's psychiatric inpatient unit was conducted to assess specific somatic, cognitive and emotional characteristics that distinguish sexually abused children from other hospitalized children. Sexually abused children were characterized by: a lower performance IQ, higher incidence of parasomnia prior to admission, longer length of hospital stay, and comparatively small physical stature.
