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PubMed2004

Evaluation of an electrolyte analyzer for measurement of ionized calcium and magnesium concentrations in blood, plasma, and serum of dogs.

OBJECTIVE: To evaluate an electrolyte analyzer for measurement of ionized calcium (Ca(i)) and magnesium (Mg(i)) concentrations in blood, plasma, and serum; investigate the effect of various factors on measured values; and establish reference ranges for Ca(i) and Mg(i) in dogs. ANIMALS: 30 healthy adult dogs of various breeds. PROCEDURE: Precision in a measurement series, day-to-day precision, and linearity were used to evaluate the analyzer. The effects of exposure of serum samples to air, type of specimen (blood, plasma, or serum), and storage temperature on sample stability were assessed. Reference ranges were established with anaerobically handled serum. RESULTS: The coefficient of variation for precision in a measurement series was < or = 1.5% for both electrolytes at various concentrations. The Ca(i) and Mg(i) concentrations were significantly lower in aerobically handled serum samples, compared with anaerobically handled samples. The Ca(i) and Mg(i) concentrations differed significantly among blood, plasma, and serum samples. In anaerobically handled serum, Ca(i) was stable for 24 hours at 22 degrees C, 48 hours at 4 degrees C, and 11 weeks at -20 degrees C; Mg(i) was stable for 8 hours at 22 degrees C, < 24 hours at 4 degrees C, and < 1 week at -20 degrees C. In anaerobically handled serum, reference ranges were 1.20 to 1.35 mmol/L for Ca(i) and 0.42 to 0.58 mmol/L for Mg(i). CONCLUSIONS AND CLINICAL RELEVANCE: The electrolyte analyzer was suitable for determination of Ca(i) and Mg(i) concentrations in dogs. Accurate results were obtained in anaerobically handled serum samples analyzed within 8 hours and kept at 22 degrees C.

Analysis of Variance↗
PubMed2004

The construction of a genetic linkage map of red raspberry (Rubus idaeus subsp. idaeus) based on AFLPs, genomic-SSR and EST-SSR markers.

Breeding in raspberry is time-consuming due to the highly heterozygous nature of this perennial fruit crop, coupled with relatively long periods of juvenility. The speed and precision of raspberry breeding can be improved by genetic linkage maps, thus facilitating the development of diagnostic markers for polygenic traits and the identification of genes controlling complex phenotypes. A genetic linkage map (789 cM) of the red raspberry Rubus idaeus has been constructed from a cross between two phenotypically different cultivars; the recent European cultivar Glen Moy and the older North American cultivar Latham. SSR markers were developed from both genomic and cDNA libraries from Glen Moy. These SSRs, together with AFLP markers, were utilised to create a linkage map. In order to test the utility of the genetic linkage map for QTL analysis, morphological data based on easily scoreable phenotypic traits were collected. The segregation of cane spininess, and the root sucker traits of density and spread from the mother plant, was quantified in two different environments. These traits were analysed for significant linkages to mapped markers using MapQTL and were found to be located on linkage group 2 for spines and group 8 for density and diameter. The availability of co-dominant markers allowed heterozygosities to be calculated for both cultivars.

Chromosome Mapping↗
PubMed2002

Reproductive performance of early-weaned female swine according to their estrus profile and frequency of artificial insemination.

We determined the estrus profile (weaning-to-estrus interval (WEI), estrus duration (ED), and frequency of estrus per detection period) in 184 female swine and estimated the effect of the WEI, ED and frequency of artificial insemination (AI) on farrowing rate (FR) and litter size. Estrus detection was done at 8:30 a.m. and 5:00 p.m. The WEI was categorized as short (<100 h), medium (100-120 h) and long (>120 h). The ED was categorized as short (<60 h), medium (60-72 h) and long (>72 h). Mean lactation length was 14.6 days, mean WEI was 124.5 h and mean ED was 69 h. In each weaning group, females received either one or two AI, following a breeding schedule based on the estrus profile. In single-mated females, Al was performed 36 h after the beginning of estrus. In double-mated females, the first AI was done 24 h after the beginning of estrus and the second AI occurred 12 h later. The period of estrus detection had no effect (P > 0.05) on WEI, ED, FR, total born (TB) and live born litter size (LB). Mean FR was 82.6%, mean TB was 10.0% and mean LB was 9.2%. Mean ED was shorter (P < 0.03) for females having medium and long WEI (67.0 and 65.4 h, respectively) than for those having short WEI (72.2 h). A linear regression analysis identified a weak (R2 = 0.02) but significant negative association between ED and WEI (P = 0.05). The WEI did not influence FR (P > 0.05). Total litter size for females having short WEI (9.4) was lower (P < 0.03) than for those having long WEI (10.4). Also, LB for females having medium and long WEI (9.7-9.8) was higher (P < 0.05) than for those having short WEI (8.7). AI frequency had no effect on FR (P > 0.05). TB and LB litter size were lower (P < 0.05) for single-mated females (9.6 and 9.0, respectively) than for double-mated females (10.7 and 9.6, respectively). Double Al was associated with higher subsequent litter size. However, breeding schedules based only on estrus profile may not be precise in determining ideal breeding time, since females having short WEI had the longest ED and produced the lowest litter size.

Animals↗
PubMed2006

Of breeding.

Believing that science is about precision in defining its terms, we propose the use of breeding as an all-encompassing term for mosquito activity does not always represent the reality of what is happening at a site where mosquitoes, in whatever stage, are present. We explore the breadth of the term breeding and propose alternative, more accurate uses for those who write about mosquitoes. We offer samples of what we see as a misuse of the word and provide what we feel is more scientifically acceptable terminology.

Animals↗
PubMed2005

Detection of two quantitative trait loci for resistance to ascochyta blight in an intra-specific cross of chickpea (Cicer arietinum L.): development of SCAR markers associated with resistance.

Two quantitative trait loci (QTLs), (QTL(AR1) and QTL(AR2)) associated with resistance to ascochyta blight, caused by Ascochyta rabiei, have been identified in a recombinant inbred line population derived from a cross of kabulixdesi chickpea. The population was evaluated in two cropping seasons under field conditions and the QTLs were found to be located in two different linkage groups (LG4a and LG4b). LG4b was saturated with RAPD markers and four of them associated with resistance were sequenced to give sequence characterized amplified regions (SCARs) that segregated with QTL(AR2). This QTL explained 21% of the total phenotypic variation. However, QTL(AR1), located in LG4a, explained around 34% of the total phenotypic variation in reaction to ascochyta blight when scored in the second cropping season. This LG4a region only includes a few markers, the flower colour locus (B/b), STMS GAA47, a RAPD marker and an inter-simple-sequence-repeat and corresponds with a previously reported QTL. From the four SCARs tagging QTL(AR2), SCAR (SCY17(590)) was co-dominant, and the other three were dominant. All SCARs segregated in a 1:1 (presence:absence) ratio and the scoring co-segregated with their respective RAPD markers. QTL(AR2) on LG4b was mapped in a highly saturated genomic region covering a genetic distance of 0.8 cM with a cluster of nine markers (three SCARs, two sequence-tagged microsatellite sites (STMS) and four RAPDs). Two of the four SCARs showed significant alignment with genes or proteins related to disease resistance in other species and one of them (SCK13(603)) was sited in the highly saturated region linked to QTL(AR2). STMS TA72 and TA146 located in LG4b were described in previous maps where QTL for blight resistance were also localized in both inter and intraspecific crosses. These findings may improve the precision of molecular breeding for QTL(AR2) as they will allow the choice of as much polymorphism as possible in any population and could be the starting point for finding a candidate resistant gene for ascochyta blight resistance in chickpea.

Analysis of Variance↗
PubMed1982

The growth of the rabbit skull in 3 dimensions --a radiographic cephalometric appraisal.

A 3 dimensional radiographic cephalometric technique has been devised to study form changes in the rabbit's skull during post-natal growth. Analysis of serial growth radiographs of individual Dutch and New Zealand breed animals demonstrates precise and ordered patterns of change in skull form. The cohesive nature of these changes indicates that the entire skull should be viewed as an entity in which the cells must act in concert during growth. Strong associations are present between size attained at 7 weeks and that ultimately arrived at in each adult animal. The consistency of these growth processes suggest that rabbit skull growth can be predicted with substantial accuracy. Comparison of variation in groups of adult laboratory and wild species of lagomorphs supports the view that variation in adult skull form is dominated by genetic factors. Similar comprehensive 3 dimensional studies of form changes in man could lead to better diagnosis and treatment of incipient structural abnormality.

Aging↗
PubMed2026

Landscape Genomics Reveals Divergent Adaptation Modes and Predicts Climate Vulnerability in Xinjiang Indigenous Sheep.

Climate change increasingly endangers precious indigenous sheep germplasm resources distributed across diverse Chinese landscapes, and systematically decoding their polygenic climate-adaptive genetic mechanisms is essential for targeted breed conservation and long-term sustainable pastoral production. Whole-genome resequencing data from 93 individuals covering six representative local sheep breeds were analyzed in this work. After filtering highly collinear climate variables, three mature landscape genomic approaches were jointly applied to identify environment-linked gene variants, while two predictive metrics across ten CMIP6 future climate scenarios quantified each breed's long-term adaptive risks. Six temperature- and water-related environmental factors jointly drove sheep population genetic differentiation, with temperature fluctuation indices showing markedly stronger explanatory power. Detected adaptive genes were significantly enriched in ion transport, energy metabolism and cellular stress response pathways. Future projections indicated western breeds (Bayinbuluke, Cele Black, Xiahe) face severe maladaptation risks under high-emission SSP370 scenarios by 2100, whereas central and eastern breeds possess much broader climate tolerance. This study systematically reveals the core genomic basis of ovine climate adaptation and quantifies distinct breed-specific climate vulnerability, providing solid reliable theoretical support for precision germplasm conservation and selective breeding of climate-resilient sheep varieties.

adaptive loci↗
PubMed2003

Effects of temperature on photoperiodically induced reproductive development, circulating plasma luteinizing hormone and thyroid hormones, body mass, fat deposition and molt in mountain white-crowned sparrows, Zonotrichia leucophrys oriantha.

The mountain white-crowned sparrow, Zonotrichia leucophrys oriantha, breeds in subalpine meadows throughout many mountainous regions of western North America. Mathematical analysis of 20 years of egg-laying dates at Tioga Pass, California (3030m elevation) indicated a highly predictable breeding season suggesting that precise environmental cues such as the annual change in day length were important for regulating reproductive function. Additionally, it appeared that there was sufficient yearly variation in the timing of breeding to suggest that other environmental cues may also be important for regulating adjustments in reproductive development and regression. Captive populations of Z. l. oriantha showed strong responses in gonadal development following transfer to longs days (15L 9D) and low temperature (5 degrees C) slowed down photoperiodically induced gonadal growth and subsequent regression, in both males and females. High temperature of 30 degrees C tended to accelerate gonadal development and regression whereas gonadal development was intermediate in a group exposed to 20 degrees C. Prior exposure to these temperature regimes while on short days (9L 15D) had no effect on body mass, fat, or plasma levels of luteinizing hormone (LH) and thyroid hormones. Curiously there was no effect of temperature on photoperiodically induced rises in LH in either sex despite marked effects on gonadal growth. Brood patch development was also enhanced in females exposed to 30 degrees C. Corticosterone levels measured in a subset of plasma samples from this experiment indicated no effect of temperature suggesting that the retarded gonadal development at 5 degrees C was not a result of thermal stress. Although there was a robust effect of photostimulation on thyroid hormone levels in blood of both sexes, temperature treatment had no effect on tri-iodothyronine (T3) concentrations. However, plasma levels of thyroxine (T4) were lower initially at 5 degrees C versus 20 and 30 degrees C treatments. This may be related to the protracted gonadal cycle at 5 degrees C versus the truncated gonadal cycle at 30 degrees C. Molt score, an indication of post-reproductive state and onset of photorefractoriness, was delayed in birds exposed to 5 degrees C. Body mass, and to a lesser extent fat score, tended to be lowest in birds exposed to 5 degrees C compared with those at 20 and 30 degrees C. These results demonstrate that ambient temperature significantly affected photoperiodically induced gonadal development and regression in these birds. The endocrine mechanisms underlying these effects require further study.

Adipose Tissue↗
PubMed2004

Remote sensing as a tool for mapping mosquito breeding habitats and associated health risk to assist control efforts and development plans: a case study in Wadi El Natroun, Egypt.

Limited mosquito ground surveys were combined with remote sensing and GIS technologies to identify mosquito breeding habitats in Natroun lakes area and to delineate associated health risks. Mosquito larval surveys were carried out in a small area to characterize positive breeding habitats and determine their geographic coordinates. Mosquitoes (Anopheles multicolor, Culex antennatus and Cx. theileri) were found breeding in water-flooded habitats with dense vegetation cover spatially associated to existing lakes. Chemical analysis indicated that mosquito breeding water was found to be polluted by several sources including agriculture, industrial and domestic sources. This information served as a training set to characterize the spectral signature of mosquitogenic (mosquito-producing) habitats using reflectance data of the Thematic Mapper (TM) sensor aboard Landsat 5 satellite. Following characterization of the spectral signature, satellite data were used to predict, potential mosquito breeding patches over the whole study area. Field surveys were then carried out to assess the accuracy of predicted habitats and those surveys have indicated that all checked sites were positive for mosquito larvae demonstrating an accuracy of 100%. Based on an average adult mosquito flight range of 2 km, GIS was used to create buffer zones around breeding habitats describing areas at risk from mosquito nuisance and disease transmission. The obtained results could thus provide a new basis for directing the control of mosquito vectors as they provide health authorities with precise maps of mosquito breeding habitats in a timely manner. Moreover, the generated map delineating risk areas could be used by project developers to either re-site the project or invest in mosquito control activities in order to avoid health risks and ensure sustainability of their development. The approach adopted in this investigation demonstrated the practical and successful application of remote sensing and GIS in assisting health and development decision making.

Animals↗
PubMed2004

Comparison of performance records and national breeding values as input into international genetic evaluation.

The purpose of this investigation was to compare accuracy and precision of variance components and breeding values for international genetic evaluations based on national breeding values or animal performance records. A conventional progeny test scheme was simulated for 3 countries. True breeding values and observations were generated specific to production environments. Two production environments were considered, and both balanced and unbalanced distribution of production environments over countries were considered. True breeding values for both production environments were generated as bivariate normal deviates, and low (0.70) and high (0.90) genetic correlations between performance in production environments were considered. Each cow had an observation in one country only. Performance records were generated as the sum of the true breeding value, a contemporary group effect, and a random residual. Eight generations of data were simulated, and the entire simulated data set was used to compare 3 methods for international genetic evaluation: 1) multiple-trait across-country evaluation based on national predicted breeding values of bulls (Mace), 2) international genetic evaluation across country using performance records, and 3) international genetic evaluation across production environment using performance records. Estimated genetic parameters were biased for all models in this study. Genetic correlations between countries were generally more biased for Mace than for the across-country analyses using performance records. Bias in within-country genetic variances was smaller for Mace. Even genetic parameters obtained with the international evaluation across production environment using performance records were biased, despite the fact that this model was closest to the true, simulated model. The root mean square error of predicted breeding values was similar between models for most of the situations considered. The difference between models was largest when the distribution of production environments over countries was unbalanced and the genetic correlation between performance in production environments was low (0.70). Using breeding values obtained with the across-production environment international genetic evaluation based on performance records will increase the response to selection.

Animals↗
PubMed2026

Artificial intelligence-driven advancements in agricultural biotechnology.

The need for faster and more informative data processing for better decision-making is driving the adoption of artificial intelligence (AI) in the agricultural sector. Thanks to recent advancements in computer science and the increase in computational powers of modern computers, AI is not only augmenting traditional solutions, but also helping in developing novel solutions to existing challenging matters. AI-driven models have an exceptional ability to identify patterns and combine a diverse collection of data together and make inference. The increasing pressure on farmlands posed by the growing global population and climate change is lessening growth, yield, and productivity ultimately posing risk to food security worldwide. Incorporation of AI in agriculture has the potential to drive farming efficiency to new heights. This comprehensive review critically evaluates the evolution of AI in agricultural biotechnology from a theoretical concept to a global phenomenon. A comprehensive literature search was performed using major scientific databases, including PubMed, Web of Science, Embase, Scopus, Lens and the Cochrane Library. In this review, we empirically demonstrate the fields advancement toward more capable AI systems and discuss the current applications of AI across crop improvement and precision agriculture such as crop improvement and genetic engineering, genomic selection and plant breeding, pest and disease detection, precision agriculture and smart farming, soil health and nutrient management, climate resilient crop development, livestock biotechnology, challenges and ethical considerations in AI based agricultural biotechnology. Furthermore, this review addresses the exponential growth of commercial intellectual property in the field and contrast it with academic publication outputs. Finally, we critically assess the ethical challenges impeding equitable adoption of AI including data sovereignty and digital divide, while projecting future frontiers involving quantum computing. This review will help build sustainable agricultural systems capable of adapting to climate change, contribute to the development of climate-resilient and high-yielding crops, and address global food security challenges.

Agriculture↗
PubMed1998

Gordon Memorial Lecture. A holistic view of poultry science from a reductionist perspective.

1. The success of the poultry industry has been dependent upon development of a precise understanding of poultry biology. 2. The advent of tools and probes that reveal the molecular and cellular organisation of complex physiological systems should be embraced by the poultry industry to gain insights into recurring problems such as egg shell quality and ascites. 3. The ability to modify the genome of chickens provides an opportunity to breed chickens with unprecedented precision. 4. The judicious use of time and resources will require a working knowledge of molecular and cellular biology and the poultry industry. There is an urgent need for educational facilities that provide both perspectives.

Animals↗
PubMed2026

Molecular Bases and Genetic Design of Rice Disease Resistance for Optimized Yield and Sustainable Agriculture.

Rice diseases continue to undermine yield stability and threaten the sustainability of rice production. The central challenge is therefore not simply to maximize immune activation, but to identify genetic interventions that remain effective across diverse pathogen races and environmental conditions without imposing excessive penalties on growth or yield. Here, we synthesize the molecular basis of rice immunity from a design-oriented perspective. We first examine cell-surface pattern-recognition receptors and intracellular nucleotide-binding leucine-rich repeat receptors, and then assess the shared signaling hubs and defence outputs that connect pathogen perception to antimicrobial responses. Rather than treating these components as equivalent breeding targets, we compare their translational potential according to resistance spectrum, anticipated durability, tunability, pleiotropic risk, and the strength of field evidence. We further discuss breeding strategies based on receptor engineering, editing of susceptibility genes and cis-regulatory elements, post-translational motif engineering, pathogen-inducible and upstream open reading frame-mediated regulation, resistance-gene stacking and artificial intelligence-assisted prediction. We argue that rational resistance design in rice should move beyond constitutive immune activation toward allele-specific, quantitative, spatially restricted and infection-responsive regulation. Integrating mechanistic insights with precision genome editing, accelerated breeding and responsible deployment offers a practical route to durable, yield-compatible disease resistance while reducing dependence on chemical control.

breeding strategy↗
PubMed2026

A User-Friendly Protocol for Microinjection into Teleost Embryos to Study Gene Function.

Zebrafish (Danio rerio) and medaka (Oryzias latipes) are popular teleost models used in developmental biology and functional genomics. To achieve high-quality and reproducible microinjections, it is essential to have robust protocols for breeding, egg collection, and the precise delivery of genetic material. In this protocol, we present a comprehensive and optimized methodology for setting up breeding tanks under controlled photoperiod conditions to maximize egg yield while minimizing contamination. We provide detailed procedures for sex identification, pair selection, the use of grated breeding inserts, and methods to increase egg collection efficiency. We outline procedures for making injection gel beds, pulling needles, and calibration using one-microliter microcapillaries to achieve consistent nanoliter-scale injections. Our protocol outlines settings for the pico-liter injector that are optimized to deliver a precise amount per pulse with minimal variability. Finally, we demonstrate the application of these methods for gene knockdown using morpholino antisense oligonucleotides, gene knockout using CRISPR-Cas9, and gain-of-function mRNA overexpression experiments. Phenotypic assessments conducted at various developmental stages to evaluate gene-specific effects reveal consistent phenotypic outcomes between the morpholino and CRISPR-Cas9 approaches. This easy and comprehensive protocol enables efficient, precise, and scalable genetic manipulation of zebrafish and medaka embryos, thereby supporting advanced functional studies in developmental biology and disease modeling. To our knowledge, this is the first unified protocol for both zebrafish and medaka microinjection systems achieving 97.7% phenotype penetrance in CRISPR-Cas9 knockouts with precision together with a triple validation approach that confirms gene function across multiple techniques.

Animals↗
PubMed2026

Genomic resources to advance seed coat color and patterning genetics and breeding in common bean (Phaseolus vulgaris L.).

Seed coat color and patterning are key quality traits in common bean (Phaseolus vulgaris L.) that define market classes and strongly influence consumer preference and market value. These traits are controlled by a complex network of major genes (sometimes with epistatic interactions), which complicates the recovery of desired market class phenotypes following inter-market class hybridization. Although many of the underlying loci have been genetically mapped, diagnostic, high-throughput molecular markers for efficient allele tracking across the Middle American and Andean gene pools remain limited. In this study, we developed and validated 24 gene-specific PCR Allele Competitive Extension (PACE) markers targeting seven major seed coat color genes (G, B, V, J, Rk, T, and Z) and two patterning genes (CPi and CSt), together with a previously reported marker associated with the postharvest seed coat darkening locus (Psd). An additional PACE marker targeting the Phaseolin (Phs) locus was developed to distinguish Middle American (S-type) and Andean (T-type) gene pools, providing a complementary tool for assessing genetic background alongside seed coat-specific loci. Marker performance was evaluated across three diverse panels, revealing high diagnostic accuracy for most loci (90%-100%). However, for loci such as J, V, Rk, T, and Z, allele-specific markers or marker combinations were required to capture full allelic diversity. Haplotype analysis further revealed substantial allelic diversity across market classes and identified background-specific interactions. Collectively, these results provide a comprehensive set of high-resolution, gene-anchored PACE markers for seed coat color, patterning, and gene pool classification in common bean. These markers enable rapid and precise allele tracking in breeding populations and germplasm collections, facilitating marker-assisted selection for market class-specific seed coat traits and accelerating genetic improvement.

Phaseolus↗
PubMed2005

Population genetic structure in migratory sandhill cranes and the role of Pleistocene glaciations.

Previous studies of migratory sandhill cranes (Grus canadensis) have made significant progress explaining evolution of this group at the species scale, but have been unsuccessful in explaining the geographically partitioned variation in morphology seen on the population scale. The objectives of this study were to assess the population structure and gene flow patterns among migratory sandhill cranes using microsatellite DNA genotypes and mitochondrial DNA haplotypes of a large sample of individuals across three populations. In particular, we were interested in evaluating the roles of Pleistocene glaciation events and postglaciation gene flow in shaping the present-day population structure. Our results indicate substantial gene flow across regions of the Midcontinental population that are geographically adjacent, suggesting that gene flow for most of the region follows an isolation-by-distance model. Male-mediated gene flow and strong female philopatry may explain the differing patterns of nuclear and mitochondrial variation. Taken in context with precise geographical information on breeding locations, the morphologic and microsatellite DNA variation shows a gradation from the Arctic-nesting subspecies G. c. canadensis to the nonArctic subspecies G. c. tabida. Analogous to other Arctic-nesting birds, it is probable that the population structure seen in Midcontinental sandhill cranes reflects the result of postglacial secondary contact. Our data suggest that subspecies of migratory sandhills experience significant gene flow and therefore do not represent distinct and independent genetic entities.

Animal Migration↗
PubMed1995

Is a critical interval of the circadian pacemaker at dusk responsive to light and melatonin responsible for the timing of estrus in the Romney Marsh ewe?

Two experiments, using Romney Marsh ewes, tested for the existence and role of a critical interval of the circadian pacemaker located near dusk that may be integrally involved in the precise timing of the breeding season. Groups of Romney Marsh ewes (n = 6) were provided with exogenous melatonin by injection at dusk (Experiment 1) or by infusion at dawn or subjected to extended darkness at dawn (Experiment 2) from the winter to the summer solstice before being exposed to natural photoperiod at latitude 35 degrees S. Other than the experimental protocols, all animals were held in natural photoperiod. The onset of the breeding season (defined as cyclic ovarian activity as indicated by plasma progesterone monitoring) was normal in those animals treated with morning melatonin but was delayed in those animals treated with melatonin at dusk or extended darkness at dawn compared to controls in natural photoperiod (p < .01). Exogenous melatonin at dusk was associated with a phase advance of the onset of the circadian pacemaker (as measured by endogenous melatonin in acutely extended darkness); additional darkness at dawn was associated with a phase delay of both the onset and the offset of the circadian pacemaker. Exogenous morning melatonin did not change the phase of the circadian pacemaker relative to the controls. The results are consistent with an external coincidence model of seasonal breeding in which a critical interval of the circadian pacemaker requires exposure to light during spring/summer to time estrus correctly. The proposed critical interval appears to be located near dusk in this model and is phase locked to the circadian pacemaker. The effect of the exogenous melatonin on the timing of the breeding season is similar to darkness when administered at dusk but is not equivalent to darkness at dawn. The timing of anestrus was not affected by any of the experimental treatments and may reflect a common response to an environmental influence.

Animals↗