Cranberry: Botany and Horticulture

Roper, Teryl R.; Vorsa, Nicholi

doi:10.1002/9780470650660.ch7

Cited by 29 publications

(22 citation statements)

References 63 publications

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“…Both species were sampled at the same developmental stage. Cranberry is being selected for commercially viable traits since 1835 and across the twentieth century (Roper and Vorsa, 1997). As a result, the cranberry showed more acquaintance with domesticated than wild species, as confirmed by the ilr -based DA.…”

Section: Discussionmentioning

confidence: 99%

The Plant Ionome Revisited by the Nutrient Balance Concept

Parent¹,

Parent²,

Egozcue³

et al. 2013

Front. Plant Sci.

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Tissue analysis is commonly used in ecology and agronomy to portray plant nutrient signatures. Nutrient concentration data, or ionomes, belong to the compositional data class, i.e., multivariate data that are proportions of some whole, hence carrying important numerical properties. Statistics computed across raw or ordinary log-transformed nutrient data are intrinsically biased, hence possibly leading to wrong inferences. Our objective was to present a sound and robust approach based on a novel nutrient balance concept to classify plant ionomes. We analyzed leaf N, P, K, Ca, and Mg of two wild and six domesticated fruit species from Canada, Brazil, and New Zealand sampled during reproductive stages. Nutrient concentrations were (1) analyzed without transformation, (2) ordinary log-transformed as commonly but incorrectly applied in practice, (3) additive log-ratio (alr) transformed as surrogate to stoichiometric rules, and (4) converted to isometric log-ratios (ilr) arranged as sound nutrient balance variables. Raw concentration and ordinary log transformation both led to biased multivariate analysis due to redundancy between interacting nutrients. The alr- and ilr-transformed data provided unbiased discriminant analyses of plant ionomes, where wild and domesticated species formed distinct groups and the ionomes of species and cultivars were differentiated without numerical bias. The ilr nutrient balance concept is preferable to alr, because the ilr technique projects the most important interactions between nutrients into a convenient Euclidean space. This novel numerical approach allows rectifying historical biases and supervising phenotypic plasticity in plant nutrition studies.

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Section: Discussionmentioning

confidence: 99%

The Plant Ionome Revisited by the Nutrient Balance Concept

Parent¹,

Parent²,

Egozcue³

et al. 2013

Front. Plant Sci.

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“…(2n = 2x = 24), is a long-lived woody perennial adapted to moist acidic soils in North America (Roper and Vorsa 1997). V. macrocarpon reproduces sexually as well as asexually through stolons.…”

Section: Introductionmentioning

confidence: 99%

Development of a high-density cranberry SSR linkage map for comparative genetic analysis and trait detection

et al. 2015

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Since its domestication 200 years ago, breeding of the American cranberry (Vaccinium macrocarpon) has relied on phenotypic selection because applicable resources for molecular improvement strategies such as marker-assisted selection (MAS) remain limited. To enable MAS in cranberry, the first high-density SSR linkage map with 541 markers representing all 12 cranberry chromosomes was constructed for the CNJ02-1 progeny from a cross of elite cultivars, CNJ97-105-4 and NJ98-23. The population was phenotyped for a 3-year period for total yield (TY), mean fruit weight (MFW), and biennial bearing index (BBI), and data were analyzed using mixed models and best linear unbiased predictors (BLUPs). Significant differences between genotypes were observed for all traits. Quantitative trait loci (QTL) analyses using BLUPs identified four MFW QTL on three linkage groups (LGs), three TY QTL on three LGs, and one BBI QTL which colocalized with a TY QTL. Local BLAST of a cranberry nuclear genome assembly identified homologous sequences for the mapped SSRs which were then anchored to 12 pseudo-chromosomes using the linkage map information. Analyses comparing coding regions (CDS) anchored in the cranberry linkage map with grape, kiwifruit, and tomato genomes were Electronic supplementary material The online version of this article (

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“…Products of the cranberry industry include fresh fruit (5%), juices (60%), sauce products, dried fruit and ingredients (35%) such as frozen fruit, juice concentrates and spray-dried cranberries (Zuo et al 2002). The main cranberry growing countries are the United States of American and Canada, and to a lesser extent, Chile (Roper and Vorsa 1997). Approximately 500Á700 million pounds of cranberries are commercially produced worldwide, which shows the enormous demand for cranberry, primarily across the northern United States (85%) and Canada (15%) (McKay and Blumberg 2007).…”

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confidence: 99%

EST-PCR, EST-SSR and ISSR markers to identify a set of wild cranberries and evaluate their relationships

Bykova

Debnath

2015

Can. J. Plant Sci.

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An, D., Bykova, N. V. and Debnath, S. C. 2015. EST-PCR, EST-SSR and ISSR markers to identify a set of wild cranberries and evaluate their relationships. Can. J. Plant Sci. 95: 1155Á1165. The cranberry (Vaccinium marcrocarpon Ait.) is a woody, evergreen, perennial vine with great potential for economic and health benefits. Selection and use of genetically diverse genotypes are key factors in any crop breeding program to develop cultivars with a broad genetic base. Molecular markers play a major role in selecting diverse genotypes. One hundred and two wild cranberry clones collected from four Canadian provinces and five cultivars were screened with inter simple sequence repeat (ISSR), expressed sequence tagÁ simple sequence repeat (EST-SSR) and ESTÁpolymerase chain reaction (PCR) markers to validate the genetic diversity and relationships among them. EST-PCRs (0.54) and EST-SSRs (0.35) generated higher frequency of major alleles than ISSRs (0.08), but ISSRs presented a higher level of polymorphism and greater polymorphic information content and expected heterozygosity than EST-SSRs and EST-PCRs. Combined cluster analysis by the unweighted pair-group method with arithmetic averages (UPGMA) separated the wild clones and cultivars into four main clusters, which was in agreement with the principal coordinate (PCo) analysis. Analysis of molecular variation detected sufficient variations among genotypes within communities and among communities within provinces with ISSR (66 and 36%, respectively), EST-PCR (72 and 34%, respectively) and EST-SSR (72 and 34%, respectively) markers. These values were 71 and 35%, respectively, for combined analysis. Combined use of three types of molecular markers, for the first time in Vaccinium species, detected a sufficient degree of variation among cranberry genotypes, allowing for differentiation and rendering these technologies valuable for genotype identification in a diverse cranberry germplasm and for more efficient parental choice in the current cranberry breeding program. Abbreviations: AFLP, amplified fragment length polymorphism; AMOVA, analysis of molecular variance; CCC, cophenetic correlation coefficient; EST, expressed sequence tag; ISSR, inter simple sequence repeat; PCo, principal coordinate; PCR, polymerase chain reaction; PIC, polymorphism information content; RAPD, randomly amplified polymorphic DNA; SSR, simple (short) sequence repeat; UPGMA, unweighted pair group method with arithmetic means Can.

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Cranberry: Botany and Horticulture

Cited by 29 publications

References 63 publications

The Plant Ionome Revisited by the Nutrient Balance Concept

The Plant Ionome Revisited by the Nutrient Balance Concept

Development of a high-density cranberry SSR linkage map for comparative genetic analysis and trait detection

EST-PCR, EST-SSR and ISSR markers to identify a set of wild cranberries and evaluate their relationships

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