Characterization of Photothermal Flowering Responses in Maturity Isolines of Soyabean [Glycine max (L.) Merrill] cv. Clark

Upadhyay, Anubha

doi:10.1006/anbo.1994.1097

Cited by 20 publications

(29 citation statements)

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“…In all these loci, the dominant allele delayed the flowering and the maturity. Cober et al [32] [183] reported that E 2 induced a response to photoperiod similar to that of E 3 . These genes seem to affect the duration of the phase of photoperiod sensitivity which is longer with the dominant alleles.…”

Section: Genetic Variation In the Responsementioning

confidence: 95%

Genetics and genetic modifications of plant architecture in grain legumes: a review

Huyghe

1998

Agronomie

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Section: Genetic Variation In the Responsementioning

confidence: 95%

Genetics and genetic modifications of plant architecture in grain legumes: a review

Huyghe

1998

Agronomie

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“…Hence, the photoperiod gene combination e 1 e 2 e 3 is typical of MG I, and perhaps other earlier maturing cultivars adapted to latitudes 44°N and higher in North America (38). There are evidence that the gene combinations of e 1 E 2 E 3 , E 1 e 2 E 3 , E 1 E 2 e 3 , and E 1 e 2 e 3 are typical of MG IV and V, whereas E 1 E 2 E 3 is typical of MG V and above (38) and would normally be cultivars adapted to latitudes below 36°N in North America (35). This information agrees with the data presented in Fig.…”

Section: Optimum Adaptation Zones For Soybean Maturity Groupsmentioning

confidence: 99%

Modifications of Optimum Adaptation Zones for Soybean Maturity Groups in the USA

et al. 2007

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Soybean cultivars are generally adapted within a narrow north‐south geographical zone for full‐season growth due primarily to photoperiod response. The areas of adaptation were empirically defined more than three decades ago and re‐examination is needed. The accuracy of adaptation area determination can be improved by utilizing updated information, including changes in production practices and new technologies. The objective of this paper was to use current soybean yield data from experiments conducted across soybean producing states in the US to develop optimum zones of adaptation for soybean maturity groups (MGs) in the continental US. Data from state soybean variety trials conducted in 1998‐2003 were obtained from 139 locations, and were used to create regional adaptation map using ArcGIS. The MG 0 cultivars are adapted best to the region north of latitude 46°N, whereas succeeding groups are adapted further south. Each of the MGs 0 to III is adapted best within approximately two degrees latitude covering an area equivalent to 220 km wide from north to south. The zones of adaptation for MGs IV, V, and VI are wider than those for the earlier maturing cultivars. Overall, the regions of adaptation for the early‐maturing cultivars (MG 0 to III) have not changed; however, the adapted zones for MGs IV, V, and VI are much broader than previously thought. Groups VII and VIII, which dominated production areas in the South decades ago are now planted on a limited basis.

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“…This allows the time of flowering of any genotype to be predicted in almost any climate from relatively few observations; it can also be used for screening germplasm collections (Roberts et al, 1996) or facilitating the genetic analysis of photoperiod-sensitivity genes and any epistatic interactions between them (Upadhyay et al, 1994). This allows the time of flowering of any genotype to be predicted in almost any climate from relatively few observations; it can also be used for screening germplasm collections (Roberts et al, 1996) or facilitating the genetic analysis of photoperiod-sensitivity genes and any epistatic interactions between them (Upadhyay et al, 1994).…”

Section: The Timing Of Seed Productionmentioning

confidence: 99%

A search for pattern and from

Roberts

1999

Seed Sci. Res.

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Seed science is a microcosm of biology which deals with a wide range of hierarchical levels of organization -from molecular biology to population ecology. Information at every level accumulates at an alarming rate. Making sense of it all calls for generalizations. Those which enable predictions to be made for circumstances different from those in which the observations were first made are particularly useful. Many scientists approach these problems by searching, consciously or unconsciously, for patterns or forms. Patterns for this purpose are defined here as discontinuities with some measure of repetition, whereas forms are thought of as continuous shapes in two or more dimensions; both can be visualized as spatial structures (most people have difficulty in conceptualising more than three or, at most, four dimensions). If one considers the whole range of hierarchical organization in biology, from molecules to communities, the recognition of the patterns and structures of processes at one hierarchical level of organization may assist in understanding the processes at adjacent levels, but such knowledge may not always be helpful in explaining processes at more remote hierarchical levels where different rules and mechanisms may predominate. Arbitrary curve fitting sometimes has a role in the recognition of the form of processes, but it is usually better to try and discover relationships where the coefficients have some biological meaning. Not only can a search for patterns and forms of processes help in the interpretation of data and the development of new ideas, but it can also sometimes help in the design of experiments. This personal view deals with some examples taken from seed research in the hierarchical levels in which I have been involved -usually somewhere between molecules and ecology.

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Characterization of Photothermal Flowering Responses in Maturity Isolines of Soyabean [Glycine max (L.) Merrill] cv. Clark

Cited by 20 publications

References 0 publications

Genetics and genetic modifications of plant architecture in grain legumes: a review

Genetics and genetic modifications of plant architecture in grain legumes: a review

Modifications of Optimum Adaptation Zones for Soybean Maturity Groups in the USA

A search for pattern and from

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